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Restoration by Generation with Constrained Priors
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site name
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updated
2026-03-06 16:58:26
raw text
Restoration by Generation with Constrained Priors Restoration by Generation with Constrained Priors CVPR 2024 (Highlight) Zheng Ding 1 , Xuaner Zhang 2 , Zhuowen Tu 1 , Zhihao Xia 2 1 UC San Diego 2 Adobe Paper arXiv Code We propose a method to directly apply a pre-trained diffusion model to blind image restoration. We achieve so by constraining the generative space using a set of anchor images. Abstract The inherent generative power of denoising diffusion models makes them well-suited for image restoration tasks where the objective is to find the optimal high-quality image within the generative space that closely resembles the input image. We propose a method to adapt a pretrained diffusion model for image restoration by simply adding noise to the input image to be restored and then denoise. Our method is based on the observation that the space of a generative model needs to be constrained. We impose this constraint by fi...
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