Tootfinder

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[2/3]:
- Geometry and Perception Guided Gaussians for Multiview-consistent 3D Generation from a Single Image
Pufan Li, Bi'an Du, Wei Hu

Trump lobt Intel-Chef, Aktie steigt
Intel-Chef Lip-Bu Tan macht Donald Trump seine Aufwartung. Vorher wollte Trump Tan gegangen wissen, nachher lobt er ihn. Der Intel-Aktie tut das wohl.
https://www.heise.d…

Wisst ihr, was ich wunderschön finde? Dass es in diesem Internet noch Nischen gibt, in denen die Menschen sich zu ihrem Hobby austauschen, sich gegenseitig helfen und niemand mansplaint was von der Seitenlinie, in einem Raum unabhängig von Konzernen wie Meta oder X. Foren sind was Wunderbares.

#Food #FoodampDining Stop Guessing How Much Coffee to Use. The 'Golden Ratio' Is the Answer

Want a Perfect Pot of Coffee? Experts Suggest the 'Golden Ratio.' Here's How it Works
I spoke with a coffee educator to learn about the "Golden Ratio," grind size and other factors that make or break your home brew.

Ö3-Star Kratky müde - ORF-Aufreger! Ende für Gagenkaiser nach 34 Jahren #News #Nachrichten

Gradient-Direction-Aware Density Control for 3D Gaussian Splatting
Zheng Zhou, Yu-Jie Xiong, Chun-Ming Xia, Jia-Chen Zhang, Hong-Jian Zhan
https://arxiv.org/abs/2508.09239 https…

Gradient-Direction-Aware Density Control for 3D Gaussian Splatting
The emergence of 3D Gaussian Splatting (3DGS) has significantly advanced novel view synthesis through explicit scene representation, enabling real-time photorealistic rendering. However, existing approaches manifest two critical limitations in complex scenarios: (1) Over-reconstruction occurs when persistent large Gaussians cannot meet adaptive splitting thresholds during density control. This is exacerbated by conflicting gradient directions that prevent effective splitting of these Gaussians;…

Der #Preisunterschied zwischen #Elektroautos und #Verbrennern ist auf unter 3.000 Euro gesunken.
Gründe sind sinkende

Markt in Bewegung: Preisabstand zwischen Verbrennern und Elektroautos schrumpft - Golem.de
Der Preisunterschied zwischen Elektroautos und Verbrennern sinkt deutlich – vor allem wegen des politischen Drucks auf Hersteller.

Puppeteer: Rig and Animate Your 3D Models
Chaoyue Song, Xiu Li, Fan Yang, Zhongcong Xu, Jiacheng Wei, Fayao Liu, Jiashi Feng, Guosheng Lin, Jianfeng Zhang
https://arxiv.org/abs/2508.10898

Puppeteer: Rig and Animate Your 3D Models
Modern interactive applications increasingly demand dynamic 3D content, yet the transformation of static 3D models into animated assets constitutes a significant bottleneck in content creation pipelines. While recent advances in generative AI have revolutionized static 3D model creation, rigging and animation continue to depend heavily on expert intervention. We present Puppeteer, a comprehensive framework that addresses both automatic rigging and animation for diverse 3D objects. Our system fi…

Mono4DEditor: Text-Driven 4D Scene Editing from Monocular Video via Point-Level Localization of Language-Embedded Gaussians
Jin-Chuan Shi, Chengye Su, Jiajun Wang, Ariel Shamir, Miao Wang
https://arxiv.org/abs/2510.09438

Mono4DEditor: Text-Driven 4D Scene Editing from Monocular Video via Point-Level Localization of Language-Embedded Gaussians
Editing 4D scenes reconstructed from monocular videos based on text prompts is a valuable yet challenging task with broad applications in content creation and virtual environments. The key difficulty lies in achieving semantically precise edits in localized regions of complex, dynamic scenes, while preserving the integrity of unedited content. To address this, we introduce Mono4DEditor, a novel framework for flexible and accurate text-driven 4D scene editing. Our method augments 3D Gaussians wi…

Uncertainty Matters in Dynamic Gaussian Splatting for Monocular 4D Reconstruction
Fengzhi Guo, Chih-Chuan Hsu, Sihao Ding, Cheng Zhang
https://arxiv.org/abs/2510.12768 https://

Uncertainty Matters in Dynamic Gaussian Splatting for Monocular 4D Reconstruction
Reconstructing dynamic 3D scenes from monocular input is fundamentally under-constrained, with ambiguities arising from occlusion and extreme novel views. While dynamic Gaussian Splatting offers an efficient representation, vanilla models optimize all Gaussian primitives uniformly, ignoring whether they are well or poorly observed. This limitation leads to motion drifts under occlusion and degraded synthesis when extrapolating to unseen views. We argue that uncertainty matters: Gaussians with r…