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cs.GR2026
DC-Motion: Decoupling Structure and Details via Discrete-Continuous Tokens for Human Motion Generation
Hequan Wang, Xuean Chen, Jiaxu Zhang +2
Text-to-motion generation requires modeling both global action structure and fine-grained motion dynamics from natural language. Existing approaches typically rely on either contin…
cs.GR2025★ 7 cited
EchoMask: Speech-Queried Attention-based Mask Modeling for Holistic Co-Speech Motion Generation
Xiangyue Zhang, Jianfang Li, Jiaxu Zhang +3
Masked modeling has shown promise in co-speech gesture generation. However, it struggles to identify semantically significant frames for effective motion masking. In this work, we…
cs.GR2023★ 1 cited
TapMo: Shape-aware Motion Generation of Skeleton-free Characters
Jiaxu Zhang, Shaoli Huang, Zhigang Tu +4
Previous motion generation methods are limited to the pre-rigged 3D human model, hindering their applications in the animation of various non-rigged characters. In this work, we pr…