Proposes generative compression with WGAN and diffusion models for perception-based denoising, plus non-asymptotic error bounds under Gaussian noise.
Denoising diffusion probabilistic models,
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Perception-based Image Denoising via Generative Compression
Proposes generative compression with WGAN and diffusion models for perception-based denoising, plus non-asymptotic error bounds under Gaussian noise.