[KongchangAI]
Concept

iREPA

iREPA is a technique for representation alignment intended to improve the training efficiency of diffusion models and accelerate convergence.

Timeline (last 90 days)

Oct 14

For training acceleration, MiniDog introduces iREPA and the EUPE perceptual encoder.

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Oct 14

iREPA is a class of representation alignment techniques that align the intermediate-layer features of a diffusion model with the features of a pretrained visual encoder (such as DINOv2) to accelerate convergence.

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