arXiv 2610.14136 · cs.AI · 2026-10-09
Correction Training for Diffusion Models
Donghoon Ahn, Runqian Wang, Alexei A. Efros, Taesung Park, Yash Belhe
University of California, Berkeley
In latest · #203 Added on 2026-10-22
One-line takeaway
Trains a corrector that refines the denoiser's prediction at each step to reduce exposure bias, improving DiT, SiT and JiT samples.
为缓解扩散模型的曝光偏差，额外训练一个“校正器”在每个去噪步修正预测，在 DiT、SiT、JiT 上明显提升质量。
Read on arXiv PDF Hugging Face discussion Code Project page
Topics & disciplines
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About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
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