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SAME: Skeleton-Agnostic Motion Embedding for Character Animation

Lee, Sunmin et al.
S-Space: Seoul National University · Papers
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graph-neural-networks
Learning deep neural networks on human motion data has become common in computer graphics research, but the heterogeneity of available datasets poses challenges for training large-scale networks. This paper presents a framework that allows us to solve various animation tasks in a skeleton-agnostic m
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