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cs.CV2026
MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons
Kehong Gong, Zhengyu Wen, Dao Thien Phong +10
Recent methods for arbitrary-skeleton motion capture from monocular video follow a factorized pipeline, where a Video-to-Pose network predicts joint positions and an analytical inv…
cs.CV2026
NECromancer: Breathing Life into Skeletons via BVH Animation
Mingxi Xu, Qi Wang, Zhengyu Wen +7
Motion tokenization is a key component of generalizable motion models, yet most existing approaches are restricted to species-specific skeletons, limiting their applicability acros…
cs.CV2026
DiMo: Discrete Diffusion Modeling for Motion Generation and Understanding
Ning Zhang, Zhengyu Li, Kwong Weng Loh +7
Prior masked modeling motion generation methods predominantly study text-to-motion. We present DiMo, a discrete diffusion-style framework, which extends masked modeling to bidirect…