Correction Training for Diffusion Models
The method substantially improves upon previously reported FID scores for unguided generation and, notably, unconditional generation, where producing high-quality samples without guidance has been particularly challenging.
Donghoon Ahn, Run-Qian Wang, Alexei A. Efros et al.
· 0 citations