1 code implementation • 29 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.
Ranked #1 on Motion Synthesis on HumanAct12
1 code implementation • 15 Mar 2022 • Guy Tevet, Brian Gordon, Amir Hertz, Amit H. Bermano, Daniel Cohen-Or
MotionCLIP gains its unique power by aligning its latent space with that of the Contrastive Language-Image Pre-training (CLIP) model.
1 code implementation • 5 May 2021 • Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or
We compare our model to state-of-the-art methods that are not ep-free and show that in the absence of camera parameters, we outperform them by a large margin while obtaining comparable results when camera parameters are available.
Ranked #18 on 3D Human Pose Estimation on Human3.6M
no code implementations • LREC 2020 • Mack Blackburn, Ning Yu, John Berrie, Brian Gordon, David Longfellow, William Tirrell, Mark Williams
Instead, we label the narrative and stance of tweets and YouTube comments about White Helmets.
no code implementations • 5 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.