Presentation

Deep Motion Warping via Phase-Conditioned Diffusion Autoencoder
DescriptionWe present a deep motion warping framework utilizing a phase-conditioned diffusion autoencoder. By explicitly disentangling motion into root velocity, phase, and style, it enables intuitive, high-level character animation editing including root warping, exaggeration, time warping, and style transfer while strictly preserving structural consistency.
Event Type
Technical Paper
TimeTuesday, 21 July 20262:30pm - 2:40pm PDT
LocationRoom 403 A
Digital Library PDF
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Tuesday, 21 July 20262:00pm - 3:30pm PDTRoom 403 A
Keywords
Animation
Artificial Intelligence/Machine Learning
Simulation
Registration Categories
Full Conference Supporter
Full Conference