Perceptually Regularized Diffusion Model for Image Super-Resolution
This work proposes a perceptually regularized diffusion framework that incorporates prior knowledge through perceptual-loss-based regularization, improving training convergence and encouraging the recovery of meaningful image features.
Chuxiang Wang, Pavithra Venkatachalapathy, Ying Liang et al.
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