Author

Cheng-Feng Zhao

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Preprint Oct 2026

PURE: Refining Feed-forward 3D Reconstruction with Unlabeled Post-training

Feed-forward 3D reconstruction models have achieved remarkable progress through large-scale training and strong learned priors. However, they remain fragile when applied to dynamic in-the-wild videos, where non-rigid motion, occlusions, and illumination changes are prevalent. A key limitation lies in their reliance on...

Yao-Long Zhu, Peng Li, Jia-Hao Lu et al. · 0 citations

Preprint Oct 2026

FlowHMR: Physically Plausible Motion Capture from Video

We present FlowHMR, a framework for recovering physically plausible global 3D human motion from monocular video. Previous learning-based methods typically regress human motion directly from video and train the network with geometric supervision. However, recovering human motion from monocular video is inherently ambigu...

Zhan-Ke Wang, Cheng-Feng Zhao, Qing Shuai et al. · 0 citations