CycleRDM reports competitive perceptual quality across nine image restoration and enhancement tasks using a three-stage diffusion process with wavelet-domain calibration, though its superiority claim is weakened by uncontrolled baselines.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
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Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model
CycleRDM reports competitive perceptual quality across nine image restoration and enhancement tasks using a three-stage diffusion process with wavelet-domain calibration, though its superiority claim is weakened by uncontrolled baselines.