Presentation
TEDi: Temporally-Entangled Diffusion for Long-term Motion Synthesis
DescriptionTEDi introduces a novel approach to long-term motion synthesis by entangling the denoising diffusion time-axis with the temporal motion time-axis. This is achieved through temporally varying denoising, allowing TEDi to generate high-quality, diverse motions auto-regressively. This new mechanism paves the way towards a new framework for long-term motion synthesis.

Event Type
Technical Paper
TimeWednesday, 31 July 202411:05am - 11:15am MDT
LocationMile High 4
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Sunday, 28 July 20246:00pm - 8:45pm MDTBluebird Ballroom
Wednesday, 31 July 202410:45am - 12:15pm MDTMile High 4
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