Presentation / Installation


Synthesizing Physical Character-scene Interactions
SessionCharacter Animation: Interaction
DescriptionWe present a system that uses adversarial imitation learning and reinforcement learning to train physically simulated characters that perform scene interaction tasks without manual annotation. Using an efficient approach to randomize the training objects during training enables our method to generalize beyond the objects and scenarios in the training dataset.
Authors
Mohamed Hassan
Max-Planck-Institute for Intelligent Systems
Electronic Arts
Yunrong Guo
NVIDIA
Tingwu Wang
NVIDIA
Michael Black
Max-Planck-Institute for Intelligent Systems
Sanja Fidler
NVIDIA
Xue Bin Peng
NVIDIA
Simon Fraser University
Event Type
Technical Paper
TimeThursday, 10 August 202311:17am - 11:27am PDT
LocationPetree Hall C
ACM Digital Library Technical Paper PDF
Session Time & Location
Sunday, 6 August 20236pm - 8:30pm PDTWest Hall B
Thursday, 10 August 202310:45am - 12:15pm PDTPetree Hall C
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Animation/Simulation
Artificial Intelligence/Machine Learning
Registration Categories
FC
FCS
V
VS
EFC
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