Submitted by CurrentlyJoblessFML t3_10g1tni in MachineLearning
pilooch t1_j59g48g wrote
Reply to comment by samb-t in [D] Question about using diffusion to denoise images by CurrentlyJoblessFML
Absolutely, I do second this, Palette is what you are looking for. We have a modified version in JoliGAN, with PR for various conditioning, including masks and sketches, cf https://github.com/jolibrain/joliGAN/pull/339
Palette-like DDPM works exceptionnally well (we have industrial-grade use cases), but a paired dataset is required, that's the number one drawback I see atm. My understanding is that unpaired diffusion but for at least a single work (UNIT-DDPM) without a known public implementation remains a research field.
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