arXiv Computer Vision By Minghan Zhu, Zhiyi Wang, Qihang Sun, Maani Ghaffari, Michael Posa

Object Reconstruction under Occlusion with Generative Priors and Contact-induced Constraints

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The paper presents a method for reconstructing object geometry under occlusion by combining generative shape priors with contact-based constraints. Generative models provide plausible guesses for unseen parts, while contact information from videos or physical interactions supplies sparse boundary constraints. The authors integrate these cues through a contact-guided 3D generation framework, demonstrating improved reconstruction on synthetic and real-world datasets compared to baseline approaches.

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