1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2026
ShapeUP: Scalable Image-Conditioned 3D Editing
Inbar Gat, Dana Cohen-Bar, Guy Levy +2
Recent advancements in 3D foundation models have enabled the generation of high-fidelity assets, yet precise 3D manipulation remains a significant challenge. Existing 3D editing fr…
cs.GR2025
AnyTop: Character Animation Diffusion with Any Topology
Inbar Gat, Sigal Raab, Guy Tevet +3
Generating motion for arbitrary skeletons is a longstanding challenge in computer graphics, remaining largely unexplored due to the scarcity of diverse datasets and the irregular n…
cs.CV2024★ 1 cited
Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer
Sigal Raab, Inbar Gat, Nathan Sala +5
Given the remarkable results of motion synthesis with diffusion models, a natural question arises: how can we effectively leverage these models for motion editing? Existing diffusi…