Iterative sampling in diffusion models can lead to error accumulation due to exposure bias. The denoiser is trained on real images interpolated with noise, but at inference its inputs are constructed
Iterative sampling in diffusion models can lead to error accumulation due to exposure bias. The denoiser is trained on real images interpolated with noise, but at inference its inputs are constructed
Details from Hugging Face ↗.
Correction Training for Diffusion Models was first seen on Hugging Face · Daily papers on Oct 21, 2026. Since then it has appeared in 11 checks on 1 different day. Its best position was #7 of 30, reached on Oct 21, 21:18 UTC. It dropped off the list after Oct 21, 23:18 UTC.
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Not at the moment. It was last on the list on Oct 21, 23:18 UTC, after 1 day of trending.
#7 on Hugging Face · Daily papers, on Oct 21, 21:18 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Oct 21, 2026 and has been on the list on 1 day (11 checks) since.