Presentation

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Taming Diffusion Probabilistic Models for Character Control
SessionCharacter Animation From Data
DescriptionWe present a novel character control framework that enables real-time generation of high-quality, diverse character animations in response to user interactive control. Our framework supports the animation of characters in various styles using a single, unified model.
Authors
Rui Chen
Hong Kong University of Science and Technology
Mingyi Shi
University of Hong Kong
Shaoli Huang
Tencent AI Lab
Ping Tan
Hong Kong University of Science and Technology
Taku Komura
University of Hong Kong
Xuelin Chen
Tencent AI Lab
Event Type
Technical Paper
TimeWednesday, 31 July 202410:55am - 11:05am MDT
LocationMile High 4
ACM Digital Library Journal Papers' PDFs
Conference Papers' PDFs
Session Time & Location
Sunday, 28 July 20246:00pm - 8:45pm MDTBluebird Ballroom
Wednesday, 31 July 202410:45am - 12:15pm MDTMile High 4
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Animation
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