Tootfinder

Fraunhofer IOF: 3D-Erkennung transparenter Objekte in weniger als 1,5 Sekunden
Die automatische Erkennung von 3D-Objekten mit "unkooperativen" Oberflächen ist eine schwierige und langsame Angelegenheit. Das Fraunhofer IOF hat eine Lösung.

Tencent releases HunyuanWorld-Voyager, an open-weights AI model that generates 3D-consistent video sequences from a single image, trained on 100K video clips (Benj Edwards/Ars Technica)
https://arstechnica.com/ai/2025/09/new-ai-model-turn…

New AI model turns photos into explorable 3D worlds, with caveats
Openly available AI tool creates steerable 3D-like video, but requires serious GPU muscle.

🖨️ Researchers create 3D-printed living lung tissue
#3dprinting

Researchers create 3D-printed living lung tissue
UBC Okanagan researchers have developed a 3D bio-printed model that closely mimics the complexity of natural lung tissue, an innovation that could transform how scientists study lung disease and develop new treatments.

Few-step Flow for 3D Generation via Marginal-Data Transport Distillation
Zanwei Zhou, Taoran Yi, Jiemin Fang, Chen Yang, Lingxi Xie, Xinggang Wang, Wei Shen, Qi Tian
https://arxiv.org/abs/2509.04406

Few-step Flow for 3D Generation via Marginal-Data Transport Distillation
Flow-based 3D generation models typically require dozens of sampling steps during inference. Though few-step distillation methods, particularly Consistency Models (CMs), have achieved substantial advancements in accelerating 2D diffusion models, they remain under-explored for more complex 3D generation tasks. In this study, we propose a novel framework, MDT-dist, for few-step 3D flow distillation. Our approach is built upon a primary objective: distilling the pretrained model to learn the Margi…

I’m gonna call this one a fail… some lines are too thin, overspray, and the 3D printed stencil warped after using it!

Yamaha präsentiert weltweit erste Auro-3D-Soundbar
Yamaha hat im Rahmen seiner IFA-Pressekonferenz sein neues Soundbar-Topmodell “True X Surround 90A” der Öffentlichkeit präsentiert.
https://www.

Occlusion-robust Stylization for Drawing-based 3D Animation
Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Ji Woo Hong, Chang D. Yoo
https://arxiv.org/abs/2508.00398 https://

Occlusion-robust Stylization for Drawing-based 3D Animation
3D animation aims to generate a 3D animated video from an input image and a target 3D motion sequence. Recent advances in image-to-3D models enable the creation of animations directly from user-hand drawings. Distinguished from conventional 3D animation, drawing-based 3D animation is crucial to preserve artist's unique style properties, such as rough contours and distinct stroke patterns. However, recent methods still exhibit quality deterioration in style properties, especially under occlusion…

VidAnimator: User-Guided Stylized 3D Character Animation from Human Videos
Xinwu Ye, Jun-Hsiang Yao, Jielin Feng, Shuhong Mei, Xingyu Lan, Siming Chen
https://arxiv.org/abs/2508.01878

VidAnimator: User-Guided Stylized 3D Character Animation from Human Videos
With captivating visual effects, stylized 3D character animation has gained widespread use in cinematic production, advertising, social media, and the potential development of virtual reality (VR) non-player characters (NPCs). However, animating stylized 3D characters often requires significant time and effort from animators. We propose a mixed-initiative framework and interactive system to enable stylized 3D characters to mimic motion in human videos. The framework takes a single-view human vi…

3D Heart Reconstruction from Sparse Pose-agnostic 2D Echocardiographic Slices
Zhurong Chen, Jinhua Chen, Wei Zhuo, Wufeng Xue, Dong Ni
https://arxiv.org/abs/2507.02411

3D Heart Reconstruction from Sparse Pose-agnostic 2D Echocardiographic Slices
Echocardiography (echo) plays an indispensable role in the clinical practice of heart diseases. However, ultrasound imaging typically provides only two-dimensional (2D) cross-sectional images from a few specific views, making it challenging to interpret and inaccurate for estimation of clinical parameters like the volume of left ventricle (LV). 3D ultrasound imaging provides an alternative for 3D quantification, but is still limited by the low spatial and temporal resolution and the highly dema…

ArtGS:3D Gaussian Splatting for Interactive Visual-Physical Modeling and Manipulation of Articulated Objects
Qiaojun Yu, Xibin Yuan, Yu jiang, Junting Chen, Dongzhe Zheng, Ce Hao, Yang You, Yixing Chen, Yao Mu, Liu Liu, Cewu Lu
https://arxiv.org/abs/2507.02600

ArtGS:3D Gaussian Splatting for Interactive Visual-Physical Modeling and Manipulation of Articulated Objects
Articulated object manipulation remains a critical challenge in robotics due to the complex kinematic constraints and the limited physical reasoning of existing methods. In this work, we introduce ArtGS, a novel framework that extends 3D Gaussian Splatting (3DGS) by integrating visual-physical modeling for articulated object understanding and interaction. ArtGS begins with multi-view RGB-D reconstruction, followed by reasoning with a vision-language model (VLM) to extract semantic and structura…

In situ and remote observations of the ultraviolet footprint of the moon Callisto by the Juno spacecraft: #Juno Detected the Final Missing Auroral Signature from Jupiter’s Four Largest Moons: https://science.nasa.gov/missions/juno/juno-detected-the-final-missing-auroral-signature-from-jupiters-four-largest-moons/

SSGaussian: Semantic-Aware and Structure-Preserving 3D Style Transfer
Jimin Xu, Bosheng Qin, Tao Jin, Zhou Zhao, Zhenhui Ye, Jun Yu, Fei Wu
https://arxiv.org/abs/2509.04379 http…

SSGaussian: Semantic-Aware and Structure-Preserving 3D Style Transfer
Recent advancements in neural representations, such as Neural Radiance Fields and 3D Gaussian Splatting, have increased interest in applying style transfer to 3D scenes. While existing methods can transfer style patterns onto 3D-consistent neural representations, they struggle to effectively extract and transfer high-level style semantics from the reference style image. Additionally, the stylized results often lack structural clarity and separation, making it difficult to distinguish between di…

Wow, AI can now simulate a 2005 3D engine for a few minutes only by stealing petabytes of data and using the power consumption of a small country!
(With my puny human mind I can only imagine a mountain scene with a lake that looks like reality by not stealing anything at all and using the power consumption of a grain of rice.)

GS-TG: 3D Gaussian Splatting Accelerator with Tile Grouping for Reducing Redundant Sorting while Preserving Rasterization Efficiency
Joongho Jo, Jongsun Park
https://arxiv.org/abs/2509.00911

GS-TG: 3D Gaussian Splatting Accelerator with Tile Grouping for Reducing Redundant Sorting while Preserving Rasterization Efficiency
3D Gaussian Splatting (3D-GS) has emerged as a promising alternative to neural radiance fields (NeRF) as it offers high speed as well as high image quality in novel view synthesis. Despite these advancements, 3D-GS still struggles to meet the frames per second (FPS) demands of real-time applications. In this paper, we introduce GS-TG, a tile-grouping-based accelerator that enhances 3D-GS rendering speed by reducing redundant sorting operations and preserving rasterization efficiency. GS-TG addr…

Thermal Implications of Non-Uniform Power in BSPDN-Enabled 2.5D/3D Chiplet-based Systems-in-Package using Nanosheet Technology
Yukai Chen, Massimiliano Di Todaro, Bjorn Vermeersch, Herman Oprins, Daniele Jahier Pagliari, Julien Ryckaert, Dwaipayan Biswas, James Myers
https://arxiv.org/abs/2508.02284

Thermal Implications of Non-Uniform Power in BSPDN-Enabled 2.5D/3D Chiplet-based Systems-in-Package using Nanosheet Technology
Advances in nanosheet technologies have significantly increased power densities, exacerbating thermal management challenges in 2.5D/3D chiplet-based Systems-in-Package (SiP). While traditional thermal analyses often employ uniform power maps to simplify computational complexity, this practice neglects localized heating effects, leading to inaccuracies in thermal estimations, especially when comparing power delivery networks (PDN) in 3D integration. This work examines the thermal impact of non-u…

Google DeepMind releases its Genie 3 model, which can generate 3D worlds from a prompt and has enough visual memory for a few minutes of continuous interaction (Jay Peters/The Verge)
https://www.theverge.com/news/718723/google-ai-genie-3-model-video-g…

Google’s new AI model creates video game worlds in real time
Google DeepMind’s new Genie 3 AI world model is capable of generating real-time interactive 3D environments.

Some new Liouville type theorems for the 3D stationary magneto-micropolar fluid equations
Zhibing Zhang, Qian Zu
https://arxiv.org/abs/2508.02449 https://a…

Some new Liouville type theorems for the 3D stationary magneto-micropolar fluid equations
In this paper, we investigate Liouville type theorems for the 3D stationary magneto-micropolar fluid equations. Adopting an iterative procedure, taking advantage of the special structure of the equations and using a novel combination of two different interpolation inequalities, we establish Liouville type theorems if the smooth solution satisfies certain growth conditions in terms of $L^p$-norms on the annuli. Compared with the velocity field and the magnetic field, we raise the most relaxed re…

Exploiting complex 3D-printed surface structures for portable quantum technologies
Nathan Cooper, David Johnson, Benjamin Hopton, Matthew Overton, David Stupple, Alexandra Bratu, Edward Wilson, John Robinson, Laurence Coles, Manolis Papastavrou, Lucia Hackermueller
https://arxiv.org/abs/2507.01476

Exploiting complex 3D-printed surface structures for portable quantum technologies
Portable quantum technologies require robust, lightweight apparatus with superior performance. For techniques dependent upon high-vacuum environments, such as atom interferometers and atomic clocks, 3D-printing enables new avenues to tailor in-vacuum gas propagation dynamics. We demonstrate intricate, fine-scale surface patterning of 3D-printed vacuum components to increase the rate at which gas particles collide with the surface. By applying a non-evaporable getter coating for use as a surface…

IGL-Nav: Incremental 3D Gaussian Localization for Image-goal Navigation
Wenxuan Guo, Xiuwei Xu, Hang Yin, Ziwei Wang, Jianjiang Feng, Jie Zhou, Jiwen Lu
https://arxiv.org/abs/2508.00823

IGL-Nav: Incremental 3D Gaussian Localization for Image-goal Navigation
Visual navigation with an image as goal is a fundamental and challenging problem. Conventional methods either rely on end-to-end RL learning or modular-based policy with topological graph or BEV map as memory, which cannot fully model the geometric relationship between the explored 3D environment and the goal image. In order to efficiently and accurately localize the goal image in 3D space, we build our navigation system upon the renderable 3D gaussian (3DGS) representation. However, due to the…

That's some amazing 3D mapping work, thanks @… for highlighting it!
#openstreetmap

Two more blog posts on the #Tricycle project over the last few days: firstly, I have found a CAD tool that works for me:
https://www.journeyman.cc/blog/posts-output/20…

This https://arxiv.org/abs/2410.17341 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

A 3D Model of the Local Bubble's Magnetic Field: Insights from Dust and Starlight Polarization
Clustered stellar feedback creates expanding voids in the magnetized interstellar medium known as superbubbles. Although theory suggests that superbubble expansion is influenced by interstellar magnetic fields, direct observational data on 3D superbubble magnetic field geometry is limited. The Sun's location inside the Local Bubble provides a unique opportunity to infer a superbubble's 3D magnetic field orientation, under the assumptions that: $\mathrm{I}$) the Local Bubble's surface is the pri…

HandOver: Enabling Precise Selection & Manipulation of 3D Objects with Mouse and Hand Tracking
Esen K. T\"ut\"unc\"u, Mar Gonzalez-Franco, Eric J. Gonzalez
https://arxiv.org/abs/2508.00211

HandOver: Enabling Precise Selection & Manipulation of 3D Objects with Mouse and Hand Tracking
We present HandOver, an extended reality (XR) interaction technique designed to unify the precision of traditional mouse input for object selection with the expressiveness of hand-tracking for object manipulation. With HandOver, the mouse is used to drive a depth-aware 3D cursor enabling precise and restful targeting -by hovering their hand over the mouse, the user can then seamlessly transition into direct 3D manipulation of the target object. In a formal user study, we compare HandOver agains…

Modelling transcriptional silencing and its coupling to 3D genome organisation
Massimiliano Semeraro, Giuseppe Negro, Davide Marenduzzo, Giada Forte
https://arxiv.org/abs/2507.02150

Modelling transcriptional silencing and its coupling to 3D genome organisation
Timely up- or down-regulation of gene expression is crucial for cellular differentiation and function. While gene upregulation via transcriptional activators has been extensively investigated, gene silencing remains understudied, especially by modelling. This study employs 3D simulations to study the biophysics of a chromatin fibre where active transcription factors compete with repressors for binding to transcription units along the fibre, and investigates how different silencing mechanisms af…

ReMu: Reconstructing Multi-layer 3D Clothed Human from Image Layers
Onat Vuran, Hsuan-I Ho
https://arxiv.org/abs/2508.01381 https://arxiv.org/pdf/2508.0138…

ReMu: Reconstructing Multi-layer 3D Clothed Human from Image Layers
The reconstruction of multi-layer 3D garments typically requires expensive multi-view capture setups and specialized 3D editing efforts. To support the creation of life-like clothed human avatars, we introduce ReMu for reconstructing multi-layer clothed humans in a new setup, Image Layers, which captures a subject wearing different layers of clothing with a single RGB camera. To reconstruct physically plausible multi-layer 3D garments, a unified 3D representation is necessary to model these gar…

3D-Printed Enclosure Wire-Guided Liquid Microfilm for Versatile Spectroscopy
Matthew J. Silverstein, Yasashri Ranathunga, Yuki Kobayashi
https://arxiv.org/abs/2507.02696

3D-Printed Enclosure Wire-Guided Liquid Microfilm for Versatile Spectroscopy
We present a 3D-printing-based design to produce wire-guided liquid microfilms that can be used for versatile spectroscopic applications. We demonstrate the ability of our instrument to provide optically useful liquid microfilms with highly tunable thicknesses over the range 25 - 180 $μ$m, with standard temporal thickness deviation less than 1.0% on the low end of the range of flow rates, and spatially homogeneous microfilms that remain stable over the course of ten hours. We then show the dev…

Experimental and simulative study on laser irradiation of 3D-printed micro-structures at intensities relevant for inertial confinement fusion
M. Cipriani, F. Consoli, M. Scisci\`o, A. Solovjovas, I. A. Petsi, M. Malinauskas, P. Andreoli, G. Cristofari, E. Di Ferdinando, G. Di Giorgio
https://arxiv.org/abs/2506.04017

Experimental and simulative study on laser irradiation of 3D-printed micro-structures at intensities relevant for inertial confinement fusion
Inertial confinement fusion requires a constant search for the most effective materials for improving the efficiency of the compression of the capsule and of the laser-to-target energy transfer. Foams could provide a solution to these problems, but they require further experimental and theoretical investigation. The new 3D-printing technologies, such as the two-photon polymerization, are opening a new era in the production of foams, allowing for the fine control of the material morphology. Deta…

Re-evaluating LLM-based Heuristic Search: A Case Study on the 3D Packing Problem
Guorui Quan, Mingfei Sun, Manuel L\'opez-Ib\'a\~nez
https://arxiv.org/abs/2509.02297 htt…

Re-evaluating LLM-based Heuristic Search: A Case Study on the 3D Packing Problem
The art of heuristic design has traditionally been a human pursuit. While Large Language Models (LLMs) can generate code for search heuristics, their application has largely been confined to adjusting simple functions within human-crafted frameworks, leaving their capacity for broader innovation an open question. To investigate this, we tasked an LLM with building a complete solver for the constrained 3D Packing Problem. Direct code generation quickly proved fragile, prompting us to introduce t…

Spatiotemporal evolution of UV pulsations and their connection to 3D magnetic reconnection and particle acceleration
Stefan Purkhart, Hannah Collier, Laura A. Hayes, Astrid M. Veronig, Miho Janvier, S\"am Krucker
https://arxiv.org/abs/2506.03825

Spatiotemporal evolution of UV pulsations and their connection to 3D magnetic reconnection and particle acceleration
Quasi-periodic pulsations (QPPs) are a common feature of impulsive solar flare emissions, yet their driving mechanism(s) remain unresolved. We study long-period (3.4 min) QPPs in the M3.7 flare on Feb 24, 2023, using SDO/AIA and Solar Orbiter/STIX to pinpoint their source and driver. We analyzed UV and HXR emissions from four subregions covering the flare ribbons and footpoints of the erupting filament. We find the QPP characteristics varied significantly across these regions. The strongest UV …

🖲️ This novel 3D printer kinematic system uses a mouse sensor for closed-loop control
https://blog.arduino.cc/2025/08/12/this-novel-3d-printer-kinematic-system-uses-a-mouse-sensor-for-closed-loop-control/

This novel 3D printer kinematic system uses a mouse sensor for closed-loop control | Arduino Blog
Robert Murray-Smith wants to experiment with a novel 3D printer kinematic system that drives a round bed through a friction interface — essentially a polar 3D printer, but without the backlash associated with gears. However, friction drives have a tendency to slip and so he will need closed-loop control of the system and that will […]

LATENTRED main board layout progress: got most of the GTYs and FPGA-MCU paths done, as well as the RGMII PHY.
Still lots more to do but I'm liking the floorplan, at least the parts that I've done.
I'm debating moving the RGMII PHY to the west a bit and adding a fan cutout directly behind the FPGA so that I can have it suck exhaust air right past the FPGA (possibly with a 3d printed air dam or something in the future). Will need to spend some time thinking about therma…

Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images
Muhammad Zubair Hasan, Fahmida Yasmin Rifat
https://arxiv.org/abs/2506.03420

Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images
Skin cancer is among the most prevalent and life-threatening diseases worldwide, with early detection being critical to patient outcomes. This work presents a hybrid machine and deep learning-based approach for classifying malignant and benign skin lesions using the SLICE-3D dataset from ISIC 2024, which comprises 401,059 cropped lesion images extracted from 3D Total Body Photography (TBP), emulating non-dermoscopic, smartphone-like conditions. Our method combines vision transformers (EVA02) an…

Robotic 3D Flower Pose Estimation for Small-Scale Urban Farms
Harsh Muriki, Hong Ray Teo, Ved Sengupta, Ai-Ping Hu
https://arxiv.org/abs/2509.02870 https://

Robotic 3D Flower Pose Estimation for Small-Scale Urban Farms
The small scale of urban farms and the commercial availability of low-cost robots (such as the FarmBot) that automate simple tending tasks enable an accessible platform for plant phenotyping. We have used a FarmBot with a custom camera end-effector to estimate strawberry plant flower pose (for robotic pollination) from acquired 3D point cloud models. We describe a novel algorithm that translates individual occupancy grids along orthogonal axes of a point cloud to obtain 2D images corresponding …

This https://arxiv.org/abs/2502.08072 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Coupled-channel study of $4S$-$3D$ mixing dynamics in $ψ(4220)$ and $ψ(4380)$
Among charmoniumlike $XYZ$ states, the $ψ(4220)$ and $ψ(4380)$ states have emerged as key candidates for exploring the charmonium spectrum. In this work, we propose a $4S$-$3D$ charmonium mixing scheme for the $ψ(4220)$ and $ψ(4380)$, induced by coupled-channel effects. By constructing a coupled-channel model, we identify the dynamical mechanism responsible for the large mixing angle observed in previous studies, which cannot be explained by conventional potential models alone. Our analysis…

The 3D Cosmic Shoreline for Nurturing Planetary Atmospheres
Zach K. Berta-Thompson, Patcharapol Wachiraphan, Catriona Murray
https://arxiv.org/abs/2507.02136

The 3D Cosmic Shoreline for Nurturing Planetary Atmospheres
Various ``cosmic shorelines" have been proposed to delineate which planets have atmospheres. The fates of individual planet atmospheres may be set by a complex sea of growth and loss processes, driven by unmeasurable environmental factors or unknown historical events. Yet, defining population-level boundaries helps illuminate which processes matter and identify high-priority targets for future atmospheric searches. Here, we provide a statistical framework for inferring the position, shape, and …

Materials and Design Strategies of Fully 3D Printed Biodegradable Wireless Devices for Biomedical Applications
Ju-Yong Lee, Jooik Jeon, Joo-Hyeon Park, Se-Hun Kang, Yea-seol Park, Min-Sung Chae, Jieun Han, Kyung-Sub Kim, Jae-Hwan Lee, Sung-Geun Choi, Sun-Young Park, Young-Seo Kim, Yoon-Nam Kim, Seung-Min Lee, Myung-Kyun Choi, Jun Min Moon, Joon-Woo Kim, Seung-Kwon Seol, Jeonghyun Kim, Jahyun Koo, Ju-Young Kim, Woo-Byoung Kim, Kang-Sik Lee, Jung Keun Hyun, Seung-Kyun Kang

Materials and Design Strategies of Fully 3D Printed Biodegradable Wireless Devices for Biomedical Applications
Three-dimensional (3D) printing of bioelectronics offers a versatile platform for fabricating personalized and structurally integrated electronic systems within biological scaffolds. Biodegradable electronics, which naturally dissolve after their functional lifetime, minimize the long-term burden on both patients and healthcare providers by eliminating the need for surgical retrieval. In this study, we developed a library of 3D-printable, biodegradable electronic inks encompassing conductors, s…

@… @… Interesting… my (getting old now) 3D printer is loud and annoying. I’ll check into this when I have/make time (if it’s before I replace it with something of this generation…).

Category-Aware 3D Object Composition with Disentangled Texture and Shape Multi-view Diffusion
Zeren Xiong, Zikun Chen, Zedong Zhang, Xiang Li, Ying Tai, Jian Yang, Jun Li
https://arxiv.org/abs/2509.02357

Category-Aware 3D Object Composition with Disentangled Texture and Shape Multi-view Diffusion
In this paper, we tackle a new task of 3D object synthesis, where a 3D model is composited with another object category to create a novel 3D model. However, most existing text/image/3D-to-3D methods struggle to effectively integrate multiple content sources, often resulting in inconsistent textures and inaccurate shapes. To overcome these challenges, we propose a straightforward yet powerful approach, category+3D-to-3D (C33D), for generating novel and structurally coherent 3D models. Our method…

Zum Greifen nah: KI-generierte 3D-Umgebungen in VR
World Labs entwickelt eine KI, die interaktive 3D-Umgebungen aus Prompts oder Bildern erzeugt. Mit Geräten wie Meta Quest 3 kann man diese jetzt in 3D erleben.

High-pressure Induced Phase Transition and Laser Characterization Response of MAPbBr$_3$ Thin Films
Xin Tang, Ruilin Li, Shuaiqi Li, Dingke Zhang
https://arxiv.org/abs/2506.03499 …

High-pressure Induced Phase Transition and Laser Characterization Response of MAPbBr3 Thin Films
The high-pressure behavior of 3D metal halide chalcogenides (MHPs) has been widely studied. In the field of high-pressure technology, the studies on 3D MHPs have focused on the structural and optical properties, where the optical properties are mainly investigated on the photoluminescence behavior, while the laser properties of the materials have not been studied yet. In this paper, MAPbBr3-MAAc films with ionic liquid methylammonium acetate (MAAc) as solvent and conventional MAPbBr3-DMF:DMSO f…

Mixed five-point correlators in the 3d Ising model
David Poland, Valentina Prilepina, Petar Tadi\'c
https://arxiv.org/abs/2507.01223 https://

Mixed five-point correlators in the 3d Ising model
We study five-point correlators of the $σ$, $ε$, and $ε'$ operators in the critical 3d Ising model. We consider the $σ\times σ$ and $σ\times ε$ operator product expansions (OPEs) and truncate them by including a finite set of exchanged operators. We approximate the truncated operators by the corresponding contributions in appropriate disconnected five-point correlators. We compute a number of OPE coefficients that were previously unknown and show that these are consistent with prediction…

The geometric phase of rotations and 3D coordinate transformations
Luis Garza-Soto, Nathan Hagen
https://arxiv.org/abs/2507.02647 https://

The geometric phase of rotations and 3D coordinate transformations
The wave description of geometric phase uses the superposition of light waves to explain the geometric phase's origin. While our previous work focused on a basis of linearly polarized waves, here we show that the same concepts can be applied to circularly polarized waves, and to any case in which a rotator is itself subjected to rotation. As with a linear polarization basis, we show that the addition of two vectors (rotators) with different orientations and magnitudes causes the orientation of …

I've got more design work to do but I am making good progress on the handheld two button controller.
#diy #maker #3Dprinting

Efficient Geometry Compression and Communication for 3D Gaussian Splatting Point Clouds
Liang Xie, Yanting Li, Luyang Tang, Wei Gao
https://arxiv.org/abs/2509.02232 https://

Efficient Geometry Compression and Communication for 3D Gaussian Splatting Point Clouds
Storage and transmission challenges in dynamic 3D scene representation based on the i3DV platform, With increasing scene complexity, the explosive growth of 3D Gaussian data volume causes excessive storage space occupancy. To address this issue, we propose adopting the AVS PCRM reference software for efficient compression of Gaussian point cloud geometry data. The strategy deeply integrates the advanced encoding capabilities of AVS PCRM into the i3DV platform, forming technical complementarity …

nRTIS: Low-Cost Real-Time 3D Sonar Imaging Circular Array Supporting Beamforming for Industrial Applications
Rens Baeyens, Dennis Laurijssen, Jan Steckel, Walter Daems
https://arxiv.org/abs/2509.01212 …

nRTIS: Low-Cost Real-Time 3D Sonar Imaging Circular Array Supporting Beamforming for Industrial Applications
Conventional ultrasonic inspection systems rely on phased arrays and high-performance computing hardware, making them costly, bulky, and unsuitable for portable or embedded use. In this work, we present nRTIS (nano Real-Time 3D Imaging Sonar), a compact ultrasonic sensing platform built around a circular array of MEMS microphones and a central ultrasonic transducer. The device achieves real-time acquisition through an RP2350 microcontroller and high-speed USB transfer. We validate the system us…

Material parameter influence on the expression of Solitary-Wave-Induced Surface Dilation
Eric Frizzell, Christine Hartzell
https://arxiv.org/abs/2509.03275 https://

Material parameter influence on the expression of Solitary-Wave-Induced Surface Dilation
We formulate a method for predicting peak particle forces in a Solitary Wave (SW) wavefront within a randomly filled 3D granular channel. The SW in our simulation are driven by a sustained impact originating in the bumpy floor of the channel. We show that, when generated in this manner, forces in the driven SW wavefront within the 3D assembly follow the same power law scaling on material properties and impact velocity as in a 1D chain. A simple scaling of the 1D forces matches results from simu…

3D-Druck: Spezielles Resin kombiniert feste und softe Materialeigenschaften
Ein einzelnes Druckharz kann beim Druck mit dem 3D-Drucker entweder weiche oder harte Eigenschaften annehmen. Dafür ist ein spezielles Druckverfahren nötig.

Gbake: Baking 3D Gaussian Splats into Reflection Probes
Stephen Pasch, Joel K. Salzman, Changxi Zheng
https://arxiv.org/abs/2507.02257 https://

Gbake: Baking 3D Gaussian Splats into Reflection Probes
The growing popularity of 3D Gaussian Splatting has created the need to integrate traditional computer graphics techniques and assets in splatted environments. Since 3D Gaussian primitives encode lighting and geometry jointly as appearance, meshes are relit improperly when inserted directly in a mixture of 3D Gaussians and thus appear noticeably out of place. We introduce GBake, a specialized tool for baking reflection probes from Gaussian-splatted scenes that enables realistic reflection mappi…

Object-centric 3D Motion Field for Robot Learning from Human Videos
Zhao-Heng Yin, Sherry Yang, Pieter Abbeel
https://arxiv.org/abs/2506.04227 https://

Object-centric 3D Motion Field for Robot Learning from Human Videos
Learning robot control policies from human videos is a promising direction for scaling up robot learning. However, how to extract action knowledge (or action representations) from videos for policy learning remains a key challenge. Existing action representations such as video frames, pixelflow, and pointcloud flow have inherent limitations such as modeling complexity or loss of information. In this paper, we propose to use object-centric 3D motion field to represent actions for robot learning …

A framework for 3D interaction techniques
Pablo Figueroa, Mark Green, Benjamin Watson
https://arxiv.org/abs/2507.02254 https://arxiv.…

A framework for 3D interaction techniques
This paper presents a software architecture for 3D interaction techniques (ITs) and an object oriented, toolkit-independent framework that implements such architecture. ITs are composed of basic filters connected in a dataflow, where virtual input devices and objects in the scene are sources of information. An execution model defines the general flow of information between filters. This framework has been designed to be extensible: new information types, new input devices, new execution models,…

A novel approach to study the wellposedness of the 3D fluid-2D plate interaction PDE System
George Avalos, Pelin G. Geredeli, Hemanta Kunwar, Hyesuk Lee
https://arxiv.org/abs/2509.03431

A novel approach to study the wellposedness of the 3D fluid-2D plate interaction PDE System
We consider a certain fluid-structure interaction (FSI) system with a view of obtaining an alternative methodology for establishing its strongly continuous semigroup wellposedness. (Semigroup generation for this FSI was originally considered in Avalos-Clark (2014).) The FSI model under consideration describes the vibrations of an incompressible fluid within a 3D cavity as it interacts with the elastic membrane on the ``free" upper boundary of the cavity. Such coupled PDE systems appear in varie…

Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
Yuqi Wu, Wenzhao Zheng, Jie Zhou, Jiwen Lu
https://arxiv.org/abs/2507.02863 https…

Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
Dense 3D scene reconstruction from an ordered sequence or unordered image collections is a critical step when bringing research in computer vision into practical scenarios. Following the paradigm introduced by DUSt3R, which unifies an image pair densely into a shared coordinate system, subsequent methods maintain an implicit memory to achieve dense 3D reconstruction from more images. However, such implicit memory is limited in capacity and may suffer from information loss of earlier frames. We …

Less is More: AMBER-AFNO -- a New Benchmark for Lightweight 3D Medical Image Segmentation
Andrea Dosi, Semanto Mondal, Rajib Chandra Ghosh, Massimo Brescia, Giuseppe Longo
https://arxiv.org/abs/2508.01941

Less is More: AMBER-AFNO -- a New Benchmark for Lightweight 3D Medical Image Segmentation
This work presents the results of a methodological transfer from remote sensing to healthcare, adapting AMBER -- a transformer-based model originally designed for multiband images, such as hyperspectral data -- to the task of 3D medical datacube segmentation. In this study, we use the AMBER architecture with Adaptive Fourier Neural Operators (AFNO) in place of the multi-head self-attention mechanism. While existing models rely on various forms of attention to capture global context, AMBER-AFNO …

I feel a while ago I saw website here where you could enter an #openstreetmap building ID and it would make a 3D render based on the 3D annotation. For the life of me I can't find the URL, does anyone have an idea?
@… I think you might have shared it at some point with the bandstand of Greenwich Park 😄
[EDIT: Answered thanks to @… , see options here https://floss.social/@hbond/114965004674098103 ]

Finished laying out the northwest corner. I think this is pretty final in that area, but I'm going to move the fan connectors and actually put one of the fans where they are.

Rethinking Backbone Design for Lightweight 3D Object Detection in LiDAR
Adwait Chandorkar, Hasan Tercan, Tobias Meisen
https://arxiv.org/abs/2508.00744 https://

Rethinking Backbone Design for Lightweight 3D Object Detection in LiDAR
Recent advancements in LiDAR-based 3D object detection have significantly accelerated progress toward the realization of fully autonomous driving in real-world environments. Despite achieving high detection performance, most of the approaches still rely on a VGG-based or ResNet-based backbone for feature exploration, which increases the model complexity. Lightweight backbone design is well-explored for 2D object detection, but research on 3D object detection still remains limited. In this work,…

Astronomy as a strategic driver for sustainable development: #Astronomy for Development is to direct astronomy towards addressing urgent societal needs.

MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh
Shuangkang Fang, I-Chao Shen, Yufeng Wang, Yi-Hsuan Tsai, Yi Yang, Shuchang Zhou, Wenrui Ding, Takeo Igarashi, Ming-Hsuan Yang
https://arxiv.org/abs/2508.01242

MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh
We present MeshLLM, a novel framework that leverages large language models (LLMs) to understand and generate text-serialized 3D meshes. Our approach addresses key limitations in existing methods, including the limited dataset scale when catering to LLMs' token length and the loss of 3D structural information during mesh serialization. We introduce a Primitive-Mesh decomposition strategy, which divides 3D meshes into structurally meaningful subunits. This enables the creation of a large-scale da…

The electromagnetic form factors of $\Sigma$ and $\Sigma^0 \to \Lambda$ transition in the timelike region
Cheng Chen, Bing Yan, Bing-Wei Long, Ju-Jun Xie
https://arxiv.org/abs/2507.01277

The electromagnetic form factors of $Σ$ and $Σ^0 \to Λ$ transition in the timelike region
We investigate the $e^+e^-\to Σ\barΣ$ and $e^+e^-\to Λ\barΣ^0$ reactions within the extended vector meson dominance model. In addition to the ground state mesons $ρ$ and $ω$, we consider the contributions of the excited states $ρ(3D)$, $ω(3D)$, $ϕ(3D)$, and $ρ(6D)$. It is found that the current experimental data on the $Σ$ electromagnetic form factors in timelike region can be well reproduced. And the $ϕ(3D)$ resonance is essential to the near threshold enhancement of the cross sect…

3D Holographic Flow Cytometry Measurements of Microalgae: Strategies for Angle Recovery in Complex Rotation Patterns
Francesca Borrelli, Giusy Giugliano, Emilie Houliez, Jaromir Behal, Daniele Pirone, Leonilde Roselli, Angela Sardo, Valerio Zupo, Maria Costantini, Lisa Miccio, Pasquale Memmolo, Vittorio Bianco, Pietro Ferraro
https://

3D Holographic Flow Cytometry Measurements of Microalgae: Strategies for Angle Recovery in Complex Rotation Patterns
Marine ecosystems are in the spotlight, because environmental changes are threatening biodiversity and ecological functions. In this context, microalgae play key ecological roles both in planktonic and benthic ecosystems. Consequently, they are considered indispensable targets for global monitoring programs. However, due to a high spatial and temporal variability and to difficulties of species identification (still relying on microscopy observations), the assessment of roles played by these com…

On the Thermal Vulnerability of 3D-Stacked High-Bandwidth Memory Architectures
Mehdi Elahi, Mohamed R. Elshamy, Abdel-Hameed A. Badawy, Ahmad Patooghy
https://arxiv.org/abs/2509.00633

On the Thermal Vulnerability of 3D-Stacked High-Bandwidth Memory Architectures
3D-stacked High Bandwidth Memory (HBM) architectures provide high-performance memory interactions to address the well-known performance challenge, namely the memory wall. However, these architectures are susceptible to thermal vulnerabilities due to the inherent vertical adjacency that occurs during the manufacturing process of HBM architectures. We anticipate that adversaries may exploit the intense vertical and lateral adjacency to design and develop thermal performance degradation attacks on…

Last year I got a phone mount for my bike handlebars, and it came with 6 of these rubber grip things to attach your phone.
Well, I left it on my bike that's in the shop but I do have 5 extra rubber grippy things!
So I designed a quick & dirty phone holder that works with the bands so I can put a phone holder on many different bikes.
It attaches with two zip ties and I use a piece of cut up tube rubber wrapped around the bar beneath it for grip.

Deeply Supervised Multi-Task Autoencoder for Biological Brain Age estimation using three dimensional T$_1$-weighted magnetic resonance imaging
Mehreen Kanwal, Yunsik Son
https://arxiv.org/abs/2508.01565

Deeply Supervised Multi-Task Autoencoder for Biological Brain Age estimation using three dimensional T$_1$-weighted magnetic resonance imaging
Accurate estimation of biological brain age from three dimensional (3D) T$_1$-weighted magnetic resonance imaging (MRI) is a critical imaging biomarker for identifying accelerated aging associated with neurodegenerative diseases. Effective brain age prediction necessitates training 3D models to leverage comprehensive insights from volumetric MRI scans, thereby fully capturing spatial anatomical context. However, optimizing deep 3D models remains challenging due to problems such as vanishing gra…

3D Simulations of Convective Entrainment in Gas Giants: Rotation and Decreasing Luminosity as Barriers to Mixing
Shu Zhang, J. Rafael Fuentes, Andrew Cumming
https://arxiv.org/abs/2509.00364

3D Simulations of Convective Entrainment in Gas Giants: Rotation and Decreasing Luminosity as Barriers to Mixing
Observations from Juno and Cassini suggest that Jupiter and Saturn may possess fuzzy cores -- central regions where the abundance of heavy elements varies smoothly with depth. Such gradients pose a longstanding puzzle for models of planetary evolution and formation, which predict that vigorous convection would homogenize the interior of gas giants within the first $\sim 10^6$--$10^8~\mathrm{years}$ of cooling. Previous 3D simulations and analytic predictions for the propagation of a convection …

Fliegen am Limit: Metas neuer 3D-360-Grad-Film lässt Extrem-Flugsport erleben
Der VR-Film "Touching the Sky VR" zeigt spektakuläre Wingsuit- und Paragliding-Flüge. Mindestens ebenso extrem wie die Flugmanöver waren die Drehbedingungen.

A Late Collaborative Perception Framework for 3D Multi-Object and Multi-Source Association and Fusion
Maryem Fadili (VeDeCom, IRSEEM), Mohamed Anis Ghaoui (VeDeCom), Louis Lecrosnier (IRSEEM, ESIGELEC), Steve Pechberti (VeDeCom), Redouane Khemmar (IRSEEM, ESIGELEC, IRSEEM)
https://arxiv.org/abs/2507.02430

A Late Collaborative Perception Framework for 3D Multi-Object and Multi-Source Association and Fusion
In autonomous driving, recent research has increasingly focused on collaborative perception based on deep learning to overcome the limitations of individual perception systems. Although these methods achieve high accuracy, they rely on high communication bandwidth and require unrestricted access to each agent's object detection model architecture and parameters. These constraints pose challenges real-world autonomous driving scenarios, where communication limitations and the need to safeguard p…

DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior
Junzhe Lu, Jing Lin, Hongkun Dou, Ailing Zeng, Yue Deng, Xian Liu, Zhongang Cai, Lei Yang, Yulun Zhang, Haoqian Wang, Ziwei Liu
https://arxiv.org/abs/2508.00599

DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior
We present DPoser-X, a diffusion-based prior model for 3D whole-body human poses. Building a versatile and robust full-body human pose prior remains challenging due to the inherent complexity of articulated human poses and the scarcity of high-quality whole-body pose datasets. To address these limitations, we introduce a Diffusion model as body Pose prior (DPoser) and extend it to DPoser-X for expressive whole-body human pose modeling. Our approach unifies various pose-centric tasks as inverse …

Enhancing Text Comprehension for Dyslexic Readers: A 3D Semantic Visualization Approach Using Transformer Mode
Zhengyang Li
https://arxiv.org/abs/2506.03731

Enhancing Text Comprehension for Dyslexic Readers: A 3D Semantic Visualization Approach Using Transformer Mode
Dyslexic individuals often face significant challenges with traditional reading, particularly when engaging with complex texts such as mystery novels. These texts typically demand advanced narrative tracking and information integration skills, making it difficult for dyslexic readers to fully comprehend the content. However, research indicates that while dyslexic individuals may struggle with textual processing, they often possess strong spatial imagination abilities. Leveraging this strength, …

Sel3DCraft: Interactive Visual Prompts for User-Friendly Text-to-3D Generation
Nan Xiang, Tianyi Liang, Haiwen Huang, Shiqi Jiang, Hao Huang, Yifei Huang, Liangyu Chen, Changbo Wang, Chenhui Li
https://arxiv.org/abs/2508.00428

Sel3DCraft: Interactive Visual Prompts for User-Friendly Text-to-3D Generation
Text-to-3D (T23D) generation has transformed digital content creation, yet remains bottlenecked by blind trial-and-error prompting processes that yield unpredictable results. While visual prompt engineering has advanced in text-to-image domains, its application to 3D generation presents unique challenges requiring multi-view consistency evaluation and spatial understanding. We present Sel3DCraft, a visual prompt engineering system for T23D that transforms unstructured exploration into a guided …

Anker verkauft keine 3D-Drucker mehr, dafür UV-Drucker
Anker hat den Vertrieb von 3D-Druckern eingestellt. Neu ins Sortiment kommt ein UV-Drucker für Reliefs.
https://www.heise.de/news/A…

LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion
Fangfu Liu, Hao Li, Jiawei Chi, Hanyang Wang, Minghui Yang, Fudong Wang, Yueqi Duan
https://arxiv.org/abs/2507.02813

LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion
Recovering 3D structures with open-vocabulary scene understanding from 2D images is a fundamental but daunting task. Recent developments have achieved this by performing per-scene optimization with embedded language information. However, they heavily rely on the calibrated dense-view reconstruction paradigm, thereby suffering from severe rendering artifacts and implausible semantic synthesis when limited views are available. In this paper, we introduce a novel generative framework, coined LangS…

AGS: Accelerating 3D Gaussian Splatting SLAM via CODEC-Assisted Frame Covisibility Detection
Houshu He, Naifeng Jing, Li Jiang, Xiaoyao Liang, Zhuoran Song
https://arxiv.org/abs/2509.00433

AGS: Accelerating 3D Gaussian Splatting SLAM via CODEC-Assisted Frame Covisibility Detection
Simultaneous Localization and Mapping (SLAM) is a critical task that enables autonomous vehicles to construct maps and localize themselves in unknown environments. Recent breakthroughs combine SLAM with 3D Gaussian Splatting (3DGS) to achieve exceptional reconstruction fidelity. However, existing 3DGS-SLAM systems provide insufficient throughput due to the need for multiple training iterations per frame and the vast number of Gaussians. In this paper, we propose AGS, an algorithm-hardware co-…

3-d scan of a chicken statue a little east of the Ithaca Commons
#photo

Chicken statue near Ithaca Commons
View this scan by @UP8 in 3D on Scaniverse.

LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans
Zhening Huang, Xiaoyang Wu, Fangcheng Zhong, Hengshuang Zhao, Matthias Nie{\ss}ner, Joan Lasenby
https://arxiv.org/abs/2507.02861

LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans
We propose LiteReality, a novel pipeline that converts RGB-D scans of indoor environments into compact, realistic, and interactive 3D virtual replicas. LiteReality not only reconstructs scenes that visually resemble reality but also supports key features essential for graphics pipelines -- such as object individuality, articulation, high-quality physically based rendering materials, and physically based interaction. At its core, LiteReality first performs scene understanding and parses the resu…

SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting
Shengjie Lin, Jiading Fang, Muhammad Zubair Irshad, Vitor Campagnolo Guizilini, Rares Andrei Ambrus, Greg Shakhnarovich, Matthew R. Walter
https://arxiv.org/abs/2506.03594

SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting
Reconstructing articulated objects prevalent in daily environments is crucial for applications in augmented/virtual reality and robotics. However, existing methods face scalability limitations (requiring 3D supervision or costly annotations), robustness issues (being susceptible to local optima), and rendering shortcomings (lacking speed or photorealism). We introduce SplArt, a self-supervised, category-agnostic framework that leverages 3D Gaussian Splatting (3DGS) to reconstruct articulated ob…

This https://arxiv.org/abs/2505.16196 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

SEM: Enhancing Spatial Understanding for Robust Robot Manipulation
A key challenge in robot manipulation lies in developing policy models with strong spatial understanding, the ability to reason about 3D geometry, object relations, and robot embodiment. Existing methods often fall short: 3D point cloud models lack semantic abstraction, while 2D image encoders struggle with spatial reasoning. To address this, we propose SEM (Spatial Enhanced Manipulation model), a novel diffusion-based policy framework that explicitly enhances spatial understanding from two com…

Mittwoch: Cyberangriff auf Telco-Konzern Orange, Ankers Verzicht auf 3D-Drucker
IT-Einbruch ohne Datenverlust Ankers UV- statt 3D-Druck YouTube mit KI-Alterskontrolle Gematik mit mehr Datenschutz MIDI-Keyboard im Test Bit-Rauschen

GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation
Tomasz Szczepa\'nski, Szymon P{\l}otka, Michal K. Grzeszczyk, Arleta Adamowicz, Piotr Fudalej, Przemys{\l}aw Korzeniowski, Tomasz Trzci\'nski, Arkadiusz Sitek
https://arxiv.org/abs/2508.00155

GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation
Tooth segmentation in Cone-Beam Computed Tomography (CBCT) remains challenging, especially for fine structures like root apices, which is critical for assessing root resorption in orthodontics. We introduce GEPAR3D, a novel approach that unifies instance detection and multi-class segmentation into a single step tailored to improve root segmentation. Our method integrates a Statistical Shape Model of dentition as a geometric prior, capturing anatomical context and morphological consistency witho…

TauGenNet: Plasma-Driven Tau PET Image Synthesis via Text-Guided 3D Diffusion Models
Yuxin Gong (for the Alzheimer's Disease Neuroimaging Initiative), Se-in Jang (for the Alzheimer's Disease Neuroimaging Initiative), Wei Shao (for the Alzheimer's Disease Neuroimaging Initiative), Yi Su (for the Alzheimer's Disease Neuroimaging Initiative), Kuang Gong (for the Alzheimer's Disease Neuroimaging Initiative)

TauGenNet: Plasma-Driven Tau PET Image Synthesis via Text-Guided 3D Diffusion Models
Accurate quantification of tau pathology via tau positron emission tomography (PET) scan is crucial for diagnosing and monitoring Alzheimer's disease (AD). However, the high cost and limited availability of tau PET restrict its widespread use. In contrast, structural magnetic resonance imaging (MRI) and plasma-based biomarkers provide non-invasive and widely available complementary information related to brain anatomy and disease progression. In this work, we propose a text-guided 3D diffusion …

3D-LATTE: Latent Space 3D Editing from Textual Instructions
Maria Parelli, Michael Oechsle, Michael Niemeyer, Federico Tombari, Andreas Geiger
https://arxiv.org/abs/2509.00269 h…

3D-LATTE: Latent Space 3D Editing from Textual Instructions
Despite the recent success of multi-view diffusion models for text/image-based 3D asset generation, instruction-based editing of 3D assets lacks surprisingly far behind the quality of generation models. The main reason is that recent approaches using 2D priors suffer from view-inconsistent editing signals. Going beyond 2D prior distillation methods and multi-view editing strategies, we propose a training-free editing method that operates within the latent space of a native 3D diffusion model, a…

Cross-Dataset Semantic Segmentation Performance Analysis: Unifying NIST Point Cloud City Datasets for 3D Deep Learning
Alexander Nikitas Dimopoulos, Joseph Grasso
https://arxiv.org/abs/2508.00822

Cross-Dataset Semantic Segmentation Performance Analysis: Unifying NIST Point Cloud City Datasets for 3D Deep Learning
This study analyzes semantic segmentation performance across heterogeneously labeled point-cloud datasets relevant to public safety applications, including pre-incident planning systems derived from lidar scans. Using NIST's Point Cloud City dataset (Enfield and Memphis collections), we investigate challenges in unifying differently labeled 3D data. Our methodology employs a graded schema with the KPConv architecture, evaluating performance through IoU metrics on safety-relevant features. Resul…

RL-U$^2$Net: A Dual-Branch UNet with Reinforcement Learning-Assisted Multimodal Feature Fusion for Accurate 3D Whole-Heart Segmentation
Jierui Qu, Jianchun Zhao
https://arxiv.org/abs/2508.02557

RL-U$^2$Net: A Dual-Branch UNet with Reinforcement Learning-Assisted Multimodal Feature Fusion for Accurate 3D Whole-Heart Segmentation
Accurate whole-heart segmentation is a critical component in the precise diagnosis and interventional planning of cardiovascular diseases. Integrating complementary information from modalities such as computed tomography (CT) and magnetic resonance imaging (MRI) can significantly enhance segmentation accuracy and robustness. However, existing multi-modal segmentation methods face several limitations: severe spatial inconsistency between modalities hinders effective feature fusion; fusion strate…

HyperGaussians: High-Dimensional Gaussian Splatting for High-Fidelity Animatable Face Avatars
Gent Serifi, Marcel C. B\"uhler
https://arxiv.org/abs/2507.02803

HyperGaussians: High-Dimensional Gaussian Splatting for High-Fidelity Animatable Face Avatars
We introduce HyperGaussians, a novel extension of 3D Gaussian Splatting for high-quality animatable face avatars. Creating such detailed face avatars from videos is a challenging problem and has numerous applications in augmented and virtual reality. While tremendous successes have been achieved for static faces, animatable avatars from monocular videos still fall in the uncanny valley. The de facto standard, 3D Gaussian Splatting (3DGS), represents a face through a collection of 3D Gaussian pr…

GR-Gaussian: Graph-Based Radiative Gaussian Splatting for Sparse-View CT Reconstruction
Yikuang Yuluo, Yue Ma, Kuan Shen, Tongtong Jin, Wang Liao, Yangpu Ma, Fuquan Wang
https://arxiv.org/abs/2508.02408

GR-Gaussian: Graph-Based Radiative Gaussian Splatting for Sparse-View CT Reconstruction
3D Gaussian Splatting (3DGS) has emerged as a promising approach for CT reconstruction. However, existing methods rely on the average gradient magnitude of points within the view, often leading to severe needle-like artifacts under sparse-view conditions. To address this challenge, we propose GR-Gaussian, a graph-based 3D Gaussian Splatting framework that suppresses needle-like artifacts and improves reconstruction accuracy under sparse-view conditions. Our framework introduces two key innovati…

This https://arxiv.org/abs/2506.02774 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGR_…

Voyager: Real-Time Splatting City-Scale 3D Gaussians on Your Phone
3D Gaussian Splatting (3DGS) is an emerging technique for photorealistic 3D scene rendering. However, rendering city-scale 3DGS scenes on mobile devices, e.g., your smartphones, remains a significant challenge due to the limited resources on mobile devices. A natural solution is to offload computation to the cloud; however, naively streaming rendered frames from the cloud to the client introduces high latency and requires bandwidth far beyond the capacity of current wireless networks. In this…

Rethink 3D Object Detection from Physical World
Satoshi Tanaka, Koji Minoda, Fumiya Watanabe, Takamasa Horibe
https://arxiv.org/abs/2507.00190 https://

Rethink 3D Object Detection from Physical World
High-accuracy and low-latency 3D object detection is essential for autonomous driving systems. While previous studies on 3D object detection often evaluate performance based on mean average precision (mAP) and latency, they typically fail to address the trade-off between speed and accuracy, such as 60.0 mAP at 100 ms vs 61.0 mAP at 500 ms. A quantitative assessment of the trade-offs between different hardware devices and accelerators remains unexplored, despite being critical for real-time appl…

Investigating Crossing Perception in 3D Graph Visualisation
Ying Zhang, Niklas Groene, Karsten Klein, Giuseppe Liotta, Falk Schreiber
https://arxiv.org/abs/2508.00950 https://…

Investigating Crossing Perception in 3D Graph Visualisation
Human perception of graph drawings is influenced by a variety of impact factors for which quality measures are used as a proxy indicator. The investigation of those impact factors and their effects is important to evaluate and improve quality measures and drawing algorithms. The number of edge crossings in a 2D graph drawing has long been a main quality measure for drawing evaluation. The use of stereoscopic 3D graph visualisations has gained attraction over the last years, and results from sev…

Novel Design of 3D Printed Tumbling Microrobots for in vivo Targeted Drug Delivery
Aaron C. Davis, Siting Zhang, Adalyn Meeks, Diya Sakhrani, Luis Carlos Sanjuan Acosta, D. Ethan Kelley, Emma Caldwell, Luis Solorio, Craig J. Goergen, David J. Cappelleri
https://arxiv.org/abs/2507.00166

Novel Design of 3D Printed Tumbling Microrobots for in vivo Targeted Drug Delivery
This paper presents innovative designs for 3D-printed tumbling microrobots, specifically engineered for targeted in vivo drug delivery applications. The microrobot designs, created using stereolithography 3D printing technologies, incorporate permanent micro-magnets to enable actuation via a rotating magnetic field actuator system. The experimental framework encompasses a series of locomotion characterization tests to evaluate microrobot performance under various conditions. Testing variables i…

TeRA: Rethinking Text-driven Realistic 3D Avatar Generation
Yanwen Wang, Yiyu Zhuang, Jiawei Zhang, Li Wang, Yifei Zeng, Xun Cao, Xinxin Zuo, Hao Zhu
https://arxiv.org/abs/2509.02466

TeRA: Rethinking Text-driven Realistic 3D Avatar Generation
In this paper, we rethink text-to-avatar generative models by proposing TeRA, a more efficient and effective framework than the previous SDS-based models and general large 3D generative models. Our approach employs a two-stage training strategy for learning a native 3D avatar generative model. Initially, we distill a decoder to derive a structured latent space from a large human reconstruction model. Subsequently, a text-controlled latent diffusion model is trained to generate photorealistic 3D…

Dreidimensionale Karten der Atmosphäre: Europäischer Wettersatellit soll starten
In der Nacht soll Europas erster Erdbeobachtungssatellit starten, der nicht nur auf die Atmosphäre gucken soll. Liefern soll die 3D-Sicht ein Infrarotsensor.

OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds
Longrong Yang, Zhixiong Zeng, Yufeng Zhong, Jing Huang, Liming Zheng, Lei Chen, Haibo Qiu, Zequn Qin, Lin Ma, Xi Li
https://arxiv.org/abs/2509.02322

OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds
Multimodal large language models are evolving toward multimodal agents capable of proactively executing tasks. Most agent research focuses on GUI or embodied scenarios, which correspond to agents interacting with 2D virtual worlds or 3D real worlds, respectively. However, many complex tasks typically require agents to interleavely interact with these two types of environment. We initially mix GUI and embodied data to train, but find the performance degeneration brought by the data conflict. Fur…

Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework
Nina Wiedemann, Sainan Liu, Quentin Leboutet, Katelyn Gao, Benjamin Ummenhofer, Michael Paulitsch, Kai Yuan
https://arxiv.org/abs/2509.02474

Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework
Following rapid advancements in text and image generation, research has increasingly shifted towards 3D generation. Unlike the well-established pixel-based representation in images, 3D representations remain diverse and fragmented, encompassing a wide variety of approaches such as voxel grids, neural radiance fields, signed distance functions, point clouds, or octrees, each offering distinct advantages and limitations. In this work, we present a unified evaluation framework designed to assess t…

SeqAffordSplat: Scene-level Sequential Affordance Reasoning on 3D Gaussian Splatting
Di Li, Jie Feng, Jiahao Chen, Weisheng Dong, Guanbin Li, Yuhui Zheng, Mingtao Feng, Guangming Shi
https://arxiv.org/abs/2507.23772

SeqAffordSplat: Scene-level Sequential Affordance Reasoning on 3D Gaussian Splatting
3D affordance reasoning, the task of associating human instructions with the functional regions of 3D objects, is a critical capability for embodied agents. Current methods based on 3D Gaussian Splatting (3DGS) are fundamentally limited to single-object, single-step interactions, a paradigm that falls short of addressing the long-horizon, multi-object tasks required for complex real-world applications. To bridge this gap, we introduce the novel task of Sequential 3D Gaussian Affordance Reasonin…

Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos
Ziren Gong, Xiaohan Li, Fabio Tosi, Jiawei Han, Stefano Mattoccia, Jianfei Cai, Matteo Poggi
https://arxiv.org/abs/2507.22052

Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos
We present Ov3R, a novel framework for open-vocabulary semantic 3D reconstruction from RGB video streams, designed to advance Spatial AI. The system features two key components: CLIP3R, a CLIP-informed 3D reconstruction module that predicts dense point maps from overlapping clips while embedding object-level semantics; and 2D-3D OVS, a 2D-3D open-vocabulary semantic module that lifts 2D features into 3D by learning fused descriptors integrating spatial, geometric, and semantic cues. Unlike prio…

3D Reconstruction and Information Fusion between Dormant and Canopy Seasons in Commercial Orchards Using Deep Learning and Fast GICP
Ranjan Sapkota, Zhichao Meng, Martin Churuvija, Xiaoqiang Du, Zenghong Ma, Manoj Karkee
https://arxiv.org/abs/2507.01912

3D Reconstruction and Information Fusion between Dormant and Canopy Seasons in Commercial Orchards Using Deep Learning and Fast GICP
In orchard automation, dense foliage during the canopy season severely occludes tree structures, minimizing visibility to various canopy parts such as trunks and branches, which limits the ability of a machine vision system. However, canopy structure is more open and visible during the dormant season when trees are defoliated. In this work, we present an information fusion framework that integrates multi-seasonal structural data to support robotic and automated crop load management during the e…

Viser: Imperative, Web-based 3D Visualization in Python
Brent Yi, Chung Min Kim, Justin Kerr, Gina Wu, Rebecca Feng, Anthony Zhang, Jonas Kulhanek, Hongsuk Choi, Yi Ma, Matthew Tancik, Angjoo Kanazawa
https://arxiv.org/abs/2507.22885

Viser: Imperative, Web-based 3D Visualization in Python
We present Viser, a 3D visualization library for computer vision and robotics. Viser aims to bring easy and extensible 3D visualization to Python: we provide a comprehensive set of 3D scene and 2D GUI primitives, which can be used independently with minimal setup or composed to build specialized interfaces. This technical report describes Viser's features, interface, and implementation. Key design choices include an imperative-style API and a web-based viewer, which improve compatibility with m…

FastVGGT: Training-Free Acceleration of Visual Geometry Transformer
You Shen, Zhipeng Zhang, Yansong Qu, Liujuan Cao
https://arxiv.org/abs/2509.02560 https://

FastVGGT: Training-Free Acceleration of Visual Geometry Transformer
Foundation models for 3D vision have recently demonstrated remarkable capabilities in 3D perception. However, scaling these models to long-sequence image inputs remains a significant challenge due to inference-time inefficiency. In this work, we present a detailed analysis of VGGT, a state-of-the-art feed-forward visual geometry model and identify its primary bottleneck. Visualization further reveals a token collapse phenomenon in the attention maps. Motivated by these findings, we explore the …

VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space
Lin Li, Zehuan Huang, Haoran Feng, Gengxiong Zhuang, Rui Chen, Chunchao Guo, Lu Sheng
https://arxiv.org/abs/2508.19247

VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space
3D local editing of specified regions is crucial for game industry and robot interaction. Recent methods typically edit rendered multi-view images and then reconstruct 3D models, but they face challenges in precisely preserving unedited regions and overall coherence. Inspired by structured 3D generative models, we propose VoxHammer, a novel training-free approach that performs precise and coherent editing in 3D latent space. Given a 3D model, VoxHammer first predicts its inversion trajectory an…

GECO: Geometrically Consistent Embedding with Lightspeed Inference
Regine Hartwig, Dominik Muhle, Riccardo Marin, Daniel Cremers
https://arxiv.org/abs/2508.00746 https://…

GECO: Geometrically Consistent Embedding with Lightspeed Inference
Recent advances in feature learning have shown that self-supervised vision foundation models can capture semantic correspondences but often lack awareness of underlying 3D geometry. GECO addresses this gap by producing geometrically coherent features that semantically distinguish parts based on geometry (e.g., left/right eyes, front/back legs). We propose a training framework based on optimal transport, enabling supervision beyond keypoints, even under occlusions and disocclusions. With a light…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[3/3]:
- HLG: Comprehensive 3D Room Construction via Hierarchical Layout Generation
Xiping Wang, Yuxi Wang, Mengqi Zhou, Junsong Fan, Zhaoxiang Zhang