Author

Peng Li

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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

#artificial intelligence Jun 2026

LUNA: Learning Universal 3D Human Animation Beyond Skinning

LUNA is the first end-to-end 3D animatable model that supports implicit 2D driving and introduces hybrid supervision that distills soft structural priors from an LBS teacher and a loss that supports training on both limited fitted data and large in-the-wild unlabeled videos.

Peng Li, Rawal Khirodkar, Junxuan Li et al. · arXiv.org · 0 citations