Learning to dress: synthesizing human dressing motion via deep reinforcement learning

Alexander Clegg
Alexander Clegg
Wenhao Yu
Wenhao Yu

ACM Trans. Graph., Volume 37, Issue 6, 2018, Pages 179:1-179:10.

Cited by: 22|Bibtex|Views67|DOI:https://doi.org/10.1145/3272127.3275048
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Other Links: dblp.uni-trier.de|academic.microsoft.com|dl.acm.org

Abstract:

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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