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cs.CV2026
InterPet4D: A Multimodal 4D Human-Pet Interaction Dataset for Pet Motion Generation
Yichen Peng, Jyun-Ting Song, Chen-Chieh Liao +3
Human-pet interaction estimation and generation remain underexplored due to the absence of a high-quality large-scale dataset. We present InterPet4D, the first multimodal dataset c…
cs.CV2026
DyaDiT: A Multi-Modal Diffusion Transformer for Socially Favorable Dyadic Gesture Generation
Yichen Peng, Jyun-Ting Song, Siyeol Jung +7
Generating realistic conversational gestures are essential for achieving natural, socially engaging interactions with digital humans. However, existing methods typically map a sing…
cs.CV2025
SimDiff: Simulator-constrained Diffusion Model for Physically Plausible Motion Generation
Akihisa Watanabe, Jiawei Ren, Li Siyao +3
Generating physically plausible human motion is crucial for applications such as character animation and virtual reality. Existing approaches often incorporate a simulator-based mo…