DMF augments kernel-based drifting models with scheduled friction to guarantee convergence and matches Optimal Flow Matching on FFHQ adult-to-child translation at 16x lower training cost.
Rethinking FID: Towards a better evaluation metric for image generation
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Attraction, Repulsion, and Friction: Introducing DMF, a Friction-Augmented Drifting Model
DMF augments kernel-based drifting models with scheduled friction to guarantee convergence and matches Optimal Flow Matching on FFHQ adult-to-child translation at 16x lower training cost.