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Diffusion-based image super-resolution (SR) methods are mainly limited by the low inference speed due to the requirements of hundreds or even thousands of sampling steps.
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Esrgan: Enhanced super-resolution generative adversarial networks
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Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
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Srdiff: Single image super-resolution with diffusion probabilistic models
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Denoising diffusion restoration models
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Inversion by direct iteration: An alternative to denoising diffusion for image restoration
Mauricio Delbracio and Peyman Milanfar · 2023
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Image restoration with mean-reverting stochastic differential equations
Ziwei Luo, Fredrik K Gustafsson, Zheng Zhao, Jens Sjölund, and Thomas B Schön · 2023
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