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most citedPre-training on Synthetic Driving Data for Trajectory Prediction

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cs.CV2025

Improved Immiscible Diffusion: Accelerate Diffusion Training by Reducing Its Miscibility

Yiheng Li, Feng Liang, Dan Kondratyuk +3

The substantial training cost of diffusion models hinders their deployment. Immiscible Diffusion recently showed that reducing diffusion trajectory mixing in the noise space via li…