AI RESEARCH
Elucidating the SNR-t Bias of Diffusion Probabilistic Models
arXiv CS.CV
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ArXi:2604.16044v1 Announce Type: new Diffusion Probabilistic Models have nstrated remarkable performance across a wide range of generative tasks. However, we have observed that these models often suffer from a Signal-to-Noise Ratio-timestep (SNR-t) bias. This bias refers to the misalignment between the SNR of the denoising sample and its corresponding timestep during the inference phase. Specifically, during