587 citations · 902 across the 38 of their papers we have counts for
46 papers
Reinforcement Learning from Intermediate Renders for Image-to-Code Generation
Omri Kaduri, Kate Feingold, Phillip Isola +1
Reinforcement learning is increasingly used to post-train vision-language models for image-to-code generation, such as generating SVG code from a reference image, by optimizing rew…
FoldingAgent: Inferring Parametric Origami Procedures from Demonstration Videos
Maya Moriya, Sigal Raab, Yael Vinker +1
We present FoldingAgent, an agentic framework for inferring explicit parametric folding programs directly from origami demonstration videos. Our framework leverages the reasoning p…
DRoPS: Dynamic 3D Reconstruction of Pre-Scanned Objects
Narek Tumanyan, Samuel Rota Bulò, Denis Rozumny +5
Dynamic scene reconstruction from casual videos has seen recent remarkable progress. Numerous approaches have attempted to overcome the ill-posedness of the task by distilling prio…
Versatile Editing of Video Content, Actions, and Dynamics without Training
Vladimir Kulikov, Roni Paiss, Andrey Voynov +3
Controlled video generation has seen drastic improvements in recent years. However, editing actions and dynamic events, or inserting contents that should affect the behaviors of ot…
Match-and-Fuse: Consistent Generation from Unstructured Image Sets
Kate Feingold, Omri Kaduri, Tali Dekel
We present Match-and-Fuse - a zero-shot, training-free method for consistent controlled generation of unstructured image sets - collections that share a common visual element, yet…
Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis
Michal Geyer, Omer Tov, Linyi Jin +4
The rising popularity of immersive visual experiences has increased interest in stereoscopic 3D video generation. Despite significant advances in video synthesis, creating 3D video…