Dana Cohen-Bar — accepted AI-conference papers

2025

Sharp-It: A Multi-view to Multi-view Diffusion Model for 3D Synthesis and Manipulation

Yiftach Edelstein, Or Patashnik, Dana Cohen-Bar, Lihi Zelnik-Manor

CVPR 2025poster

Advancements in text-to-image diffusion models have led to significant progress in fast 3D content creation. One common approach is to generate a set of multi-view images of an object, and then reconstruct it into a 3D model. However, this approach bypasses the use of a native 3D representation of t…

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2025

TriTex: Learning Texture from a Single Mesh via Triplane Semantic Features

Dana Cohen-Bar, Daniel Cohen-Or, Gal Chechik, Yoni Kasten

CVPR 2025poster

As 3D content creation continues to grow, transferring semantic textures between 3D meshes remains a significant challenge in computer graphics. While recent methods leverage text-to-image diffusion models for texturing, they often struggle to preserve the appearance of the source texture during tex…

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