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cs.CV2026
FlowHMR: Physically Plausible Motion Capture from Video
Zhanke Wang, Chengfeng Zhao, Qing Shuai +8
We present FlowHMR, a framework for recovering physically plausible global 3D human motion from monocular video. Previous learning-based methods typically regress human motion dire…
cs.CV2026
AESOP: Asymmetric Human-Camera Generation with Translation-Intensity Control
Jingzhong Lin, Zhanke Wang, Heng Li +9
Human motion defines an action, while a camera trajectory determines how it is presented. Camera generation for a given human motion and joint human-camera generation are usually t…
cs.CV2026
SignGPT: Toward LLM-Mediated Sign Language Interaction through Gloss-Free Translation and Generation
Ronghui Li, Jun Dong, Zhongyuan Hu +8
Large language models (LLMs) provide limited support for sign language interaction. Unifying sign language translation (SLT) and generation (SLG) to enable sign language as both in…