Search Results for author: Yonatan Shafir

Found 3 papers, 2 papers with code

Human Motion Diffusion Model

1 code implementation29 Sep 2022 Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, Amit H. Bermano

In this paper, we introduce Motion Diffusion Model (MDM), a carefully adapted classifier-free diffusion-based generative model for the human motion domain.

Motion Synthesis

Human Motion Diffusion as a Generative Prior

2 code implementations2 Mar 2023 Yonatan Shafir, Guy Tevet, Roy Kapon, Amit H. Bermano

We evaluate the composition methods using an off-the-shelf motion diffusion model, and further compare the results to dedicated models trained for these specific tasks.

Denoising Motion Synthesis

Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment

no code implementations5 Dec 2023 Brian Gordon, Yonatan Bitton, Yonatan Shafir, Roopal Garg, Xi Chen, Dani Lischinski, Daniel Cohen-Or, Idan Szpektor

While existing image-text alignment models reach high quality binary assessments, they fall short of pinpointing the exact source of misalignment.

Explanation Generation Visual Grounding

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