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About this paper
Zhehao Guo, Jiedong Lang, Shuyu Huang, Yunfei Gao, Xintong Ding
The paper explains how diffusion-model noise schedules determine the corruption and denoising problems encountered during training and sampling. It compares schedule shapes and parameters across resolutions, synthesizing prior studies rather than reporting a new experiment. In Chen’s 256×256 ImageNet comparison, cosine scored 5.61 FID and sigmoid 4.28, but no schedule is universally best.
Summary by alphaXiv.
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