AINeutralarXiv – CS AI · 10h ago6/10
🧠
NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training
Researchers introduce NoiseRater, a meta-learning framework that assigns importance scores to noise samples during diffusion model training, moving beyond the assumption that all injected noise is equally valuable. By prioritizing informative noise through adaptive reweighting, the approach demonstrates improved training efficiency and generation quality on benchmark datasets like FFHQ and ImageNet.