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Diffusion Probabilistic Models (DPMs) have recently shown remarkable performance in image generation tasks, which are capable of generating highly realistic images.
Nonlinear total variation based noise removal algorithms
Leonid I. Rudin, Stanley Osher, and Emad Fatemi · 1992
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High-fidelity generative image compression
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Wavegrad: Estimating gradients for waveform generation
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Rethinking coarse-to-fine approach in single image deblurring
Rethinking noise synthesis and modeling in raw denoising
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Instructpix2pix: Learning to follow image editing instructions
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Simple baselines for image restoration
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Prompt-to-prompt image editing with cross attention control
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Classifier-free diffusion guidance
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Restormer: Efficient transformer for high-resolution image restoration
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Kbnet: Kernel basis network for image restoration
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