Learning to dress: synthesizing human dressing motion via deep reinforcement learning
ACM Trans. Graph., Volume 37, Issue 6, 2018, Pages 179:1-179:10.
Creating animation of a character putting on clothing is challenging due to the complex interactions between the character and the simulated garment. We take a model-free deep reinforcement learning (deepRL) approach to automatically discovering robust dressing control policies represented by neural networks. While deepRL has demonstrated...More
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