5 papers
IAM: Identity-Aware Human Motion and Shape Joint Generation
Wenqi Jia, Zekun Li, Abhay Mittal +6
Recent advances in text-driven human motion generation enable models to synthesize realistic motion sequences from natural language descriptions. However, most existing approaches…
DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors
Pengcheng Wang, Kaiwen Hong, Chensheng Peng +4
Unlike chatbots, physical AI must act while the world keeps evolving. Therefore, the inter-chunk pause of synchronous executors are fatal for dynamic tasks regardless of how fast t…
HuMoCon: Concept Discovery for Human Motion Understanding
Qihang Fang, Chengcheng Tang, Bugra Tekin +2
We present HuMoCon, a novel motion-video understanding framework designed for advanced human behavior analysis. The core of our method is a human motion concept discovery framework…
CigTime: Corrective Instruction Generation Through Inverse Motion Editing
Qihang Fang, Chengcheng Tang, Bugra Tekin +1
Recent advancements in models linking natural language with human motions have shown significant promise in motion generation and editing based on instructional text. Motivated by…
BID: Boundary-Interior Decoding for Unsupervised Temporal Action Localization Pre-Trainin
Qihang Fang, Chengcheng Tang, Shugao Ma +1
Skeleton-based motion representations are robust for action localization and understanding for their invariance to perspective, lighting, and occlusion, compared with images. Yet,…