🏢 UC Riverside
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training
·2424 words·12 mins·
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Machine Learning
Self-Supervised Learning
🏢 UC Riverside
Diffusion models benefit from contrastive training, improving sample quality and speed by addressing poor denoiser estimation in out-of-distribution regions.