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Found 2 papers, 2 papers with code
Single Motion Diffusion
We harness the power of diffusion models and present a denoising network explicitly designed for the task of learning from a single input motion.
MoDi: Unconditional Motion Synthesis from Diverse Data
In this work, we present MoDi -- a generative model trained in an unsupervised setting from an extremely diverse, unstructured and unlabeled dataset.
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