3 papers
cs.CV2026
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…
cs.CV2025
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…
cs.CV2024
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…