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Inbal Leibovitch

2 accepted papers

2024

Single Motion Diffusion

ICLR 2024spotlight

Synthesizing realistic animations of humans, animals, and even imaginary creatures, has long been a goal for artists and computer graphics professionals. Compared to the imaging domain, which is rich with large available datasets, the number of data instances for the motion domain is limited, partic…

2023

MoDi: Unconditional Motion Synthesis From Diverse Data

CVPR 2023poster

The emergence of neural networks has revolutionized the field of motion synthesis. Yet, learning to unconditionally synthesize motions from a given distribution remains challenging, especially when the motions are highly diverse. In this work, we present MoDi -- a generative model trained in an unsu…