InvSR trains a noise predictor to initialize a frozen Stable Diffusion model at a high-signal intermediate step, delivering one-to-five-step super-resolution whose one-step output is competitive with dedicated one-step methods.
Diffusion pos- terior sampling for general noisy inverse problems
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Arbitrary-steps Image Super-resolution via Diffusion Inversion
InvSR trains a noise predictor to initialize a frozen Stable Diffusion model at a high-signal intermediate step, delivering one-to-five-step super-resolution whose one-step output is competitive with dedicated one-step methods.