Presentation / Installation


Generating Activity Snippets by Learning Human-scene Interactions
SessionCharacter Animation: Interaction
DescriptionThis approach generates virtual activity snippets, which comprise sequenced keyframes of multi-character, multi-object interaction scenarios in 3D environments by learning from recordings of human-scene interactions. It can help create faithful social scenarios in fully virtual metaverse environments and generate partially virtual activities to support mixed reality applications.
Authors
Changyang Li
George Mason University
Lap-Fai Yu
George Mason University
Event Type
Technical Paper
TimeThursday, 10 August 202310:45am - 10:56am PDT
LocationPetree Hall C
ACM Digital Library Technical Papers pdfs
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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