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Yuchong Guo

1 accepted papers

2026

RealAppiance: Let High-fidelity Appliance Assets Controllable and Workable as Aligned Real Manauls

CVPR 2026

Existing appliance assets suffer from poor rendering, incomplete mechanisms, and misalignment with manuals, leading to simulation-reality gaps that hinder appliance manipulation development. In this work, we introduce the RealAppliance dataset, comprising 100 high-fidelity appliances with complete p

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