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Example-based Motion Synthesis via Generative Motion Matching
DescriptionWe present Generative Motion Matching (GenMM), a generative model that “mines” as many diverse motions as possible from a single or few example sequences. GenMM is training-free and can synthesize a high-quality motion within a fraction of a second, even with highly complex and large skeletal structures.
LocationPetree Hall C
Research & Education
Artificial Intelligence/Machine Learning