Tootfinder

FashionPose: Text to Pose to Relight Image Generation for Personalized Fashion Visualization
Chuancheng Shi, Yixiang Chen, Burong Lei, Jichao Chen
https://arxiv.org/abs/2507.13311

FashionPose: Text to Pose to Relight Image Generation for Personalized Fashion Visualization
Realistic and controllable garment visualization is critical for fashion e-commerce, where users expect personalized previews under diverse poses and lighting conditions. Existing methods often rely on predefined poses, limiting semantic flexibility and illumination adaptability. To address this, we introduce FashionPose, the first unified text-to-pose-to-relighting generation framework. Given a natural language description, our method first predicts a 2D human pose, then employs a diffusion mo…

Grünen-Vorsitzende schlägt neue Russland-Sanktionen vor
Nach den Ukraine-Gesprächen im Weißen Haus sieht die Grünen-Vorsitzende Franziska Brantner den Ball im Spielfeld der Europäer. "Dieses Washington-Treffen endete nicht im Desaster", sagte die Parteivorsitzende der Deutschen Presse-Agentur. Das sei aber kein Grund zum Aufatmen, sondern zeige nur, wie sehr man sich schon daran gewöhnt habe, wie ge…
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A Real-time Endoscopic Image Denoising System
Yu Xing, Shishi Huang, Meng Lv, Guo Chen, Huailiang Wang, Lingzhi Sui
https://arxiv.org/abs/2506.15395 https:…

A Real-time Endoscopic Image Denoising System
Endoscopes featuring a miniaturized design have significantly enhanced operational flexibility, portability, and diagnostic capability while substantially reducing the invasiveness of medical procedures. Recently, single-use endoscopes equipped with an ultra-compact analogue image sensor measuring less than 1mm x 1mm bring revolutionary advancements to medical diagnosis. They reduce the structural redundancy and large capital expenditures associated with reusable devices, eliminate the risk of …

#PrettyFlyForAWiFi

1/2 'Glitzer' #FotoVorschlag 'glitter'
I don't have a lot of glitter in my portfolio. But #snowflakes can be like glitter in the counter light!
I took this #photo …

Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer
Daniel Moreno-Cartagena, Guillermo Cabrera-Vives, Alejandra M. Mu\~noz Arancibia, Pavlos Protopapas, Francisco F\"orster, M\'arcio Catelan, A. Bayo, Pablo A. Est\'evez, P. S\'anchez-S\'aez, Franz E. Bauer, M. Pavez-Herrera, L. Hern\'andez-Garc\'ia, Gonzalo Rojas

Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer
We explore the use of Swin Transformer V2, a pre-trained vision Transformer, for photometric classification in a multi-survey setting by leveraging light curves from the Zwicky Transient Facility (ZTF) and the Asteroid Terrestrial-impact Last Alert System (ATLAS). We evaluate different strategies for integrating data from these surveys and find that a multi-survey architecture which processes them jointly achieves the best performance. These results highlight the importance of modeling survey-s…

>Someone asking about how much 500M years is.
>Me: "About the same time of us going from Trilobite (image 1) to delivering a portable sun by air mail (image 2)."

Interpretable Robot Control via Structured Behavior Trees and Large Language Models
Ingrid Ma\'eva Chekam, Ines Pastor-Martinez, Ali Tourani, Jose Andres Millan-Romera, Laura Ribeiro, Pedro Miguel Bastos Soares, Holger Voos, Jose Luis Sanchez-Lopez
https://arxiv.org/abs/2508.09621

Interpretable Robot Control via Structured Behavior Trees and Large Language Models
As intelligent robots become more integrated into human environments, there is a growing need for intuitive and reliable Human-Robot Interaction (HRI) interfaces that are adaptable and more natural to interact with. Traditional robot control methods often require users to adapt to interfaces or memorize predefined commands, limiting usability in dynamic, unstructured environments. This paper presents a novel framework that bridges natural language understanding and robotic execution by combinin…

Physics-Informed Deep Unrolled Network for Portable MR Image Reconstruction
Efe Il{\i}cak, Chinmay Rao, Chlo\'e Najac, Beatrice Lena, Baris Imre, Fernando Galve, Joseba Alonso, Andrew Webb, Marius Staring
https://arxiv.org/abs/2509.11790

Physics-Informed Deep Unrolled Network for Portable MR Image Reconstruction
Magnetic resonance imaging (MRI) is the gold standard imaging modality for numerous diagnostic tasks, yet its usefulness is tempered due to its high cost and infrastructural requirements. Low-cost very-low-field portable scanners offer new opportunities, while enabling imaging outside conventional MRI suites. However, achieving diagnostic-quality images in clinically acceptable scan times remains challenging with these systems. Therefore methods for improving the image quality while reducing th…

A Portable Multi-GPU Solver for Collisional Plasmas with Coulombic Interactions
James Almgren-Bell, Nader Al Awar, Dilip S Geethakrishnan, Milos Gligoric, George Biros
https://arxiv.org/abs/2508.06771 …

A Portable Multi-GPU Solver for Collisional Plasmas with Coulombic Interactions
We study parallel particle-in-cell (PIC) methods for low-temperature plasmas (LTPs), which discretize kinetic formulations that capture the time evolution of the probability density function of particles as a function of position and velocity. We use a kinetic description for electrons and a fluid approximation for heavy species. In this paper, we focus on GPU acceleration of algorithms for velocity-space interactions and in particular, collisions of electrons with neutrals, ions, and electrons…