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InterPrior: Scaling Generative Control for Physics-Based Human-Object InteractionsSirui Xu, Samuel Schulter, Morteza Ziyadi, Xialin He, Xiaohan Fei, Yu-Xiong Wang, and Liangyan Gui. CVPR, 2026. InterPrior combines large-scale imitation pretraining with reinforcement-learning post-training to produce a versatile physics-based controller that follows sparse goals, recovers from failures, and generalizes human-object interactions to unseen settings. |
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