Image Deblurring Collection

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“The state-of-the-art image restoration model without nonlinear activation functions.”

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“A curated list of resources for Image and Video Deblurring”

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“[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring. ”

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“A Collection of Papers and Codes for CVPR2026/CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision”

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“[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.”

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“[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".”

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“[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.”

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“Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)”

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“Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"”

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“A Repository for Diffusion-Model-related Papers in Low-level Vision”

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“A Collection of Papers and Codes for ECCV2024/ECCV2020 Low Level Vision ”

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“Simple framework for image and video deblurring, implemented by PyTorch”

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“A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐”

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“[ECCV 2022] LEDNet: Joint Low-light Enhancement and Deblurring in the Dark”

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“[ICLR'25] AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation”

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“A Collection of Papers and Codes for ICCV2025/ICCV2021 Low Level Vision”

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“A Collection of Low Level Vision Research Groups”

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“Deep learning in motion deblurring: current status, benchmarks and future prospects[J], The Visual Computer, 2024.”