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cs.CV2025
DeMoGen: Towards Decompositional Human Motion Generation with Energy-Based Diffusion Models
Jianrong Zhang, Hehe Fan, Yi Yang
Human motions are compositional: complex behaviors can be described as combinations of simpler primitives. However, existing approaches primarily focus on forward modeling, e.g., l…
cs.CV2025
ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation
Kerui Chen, Jianrong Zhang, Ming Li +2
Existing stylized motion generation models have shown their remarkable ability to understand specific style information from the style motion, and insert it into the content motion…