Injected noise during diffusion sampling influences generalization across datasets
Read the original at arxiv.org→arXiv:2611.03764v1 Announce Type: new Abstract: Diffusion models trained on distinct datasets can produce highly similar samples when prompted with the same noise input, suggesting that they learn a generalized data...
Original headline: "The role of injected noise in diffusion model generalization"
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- Nov 4, 05:00 UTC arXiv cs.LG lead source The role of injected noise in diffusion model generalization