image-restoration

There are 338 repositories under image-restoration topic.

  • GFPGAN

    TencentARC/GFPGAN

    GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

    Language:Python34.6k4954435.7k
  • Real-ESRGAN

    xinntao/Real-ESRGAN

    Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

    Language:Python26k2206223.3k
  • Bringing-Old-Photos-Back-to-Life

    microsoft/Bringing-Old-Photos-Back-to-Life

    Bringing Old Photo Back to Life (CVPR 2020 oral)

    Language:Python14.4k2832491.9k

  • JingyunLiang/SwinIR

    SwinIR: Image Restoration Using Swin Transformer (official repository)

    Language:Python4.1k56138505

  • cszn/KAIR

    Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

    Language:Python2.7k45158598

  • wenbihan/reproducible-image-denoising-state-of-the-art

    Collection of popular and reproducible image denoising works.

    2.3k11710508

  • megvii-research/NAFNet

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

    Language:Python2k21133242

  • swz30/Restormer

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

    Language:Python1.5k1891203

  • Janspiry/Palette-Image-to-Image-Diffusion-Models

    Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

    Language:Python1.4k1893182

  • xinntao/Real-ESRGAN-ncnn-vulkan

    NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

    Language:C1.3k2154150

  • X-Lucifer/AI-Lossless-Zoomer

    AI无损放大工具

    Language:C#1.3k2024149

  • swz30/MPRNet

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

    Language:Python1.1k15140180

  • wyhuai/DDNM

    [ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

    Language:Python1k276771

  • google-research/maxim

    [CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

    Language:Python9411437102

  • researchmm/TTSR

    [CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution

    Language:Python7471456116

  • Kobaayyy/Awesome-CVPR2024-CVPR2021-CVPR2020-Low-Level-Vision

    A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision

    73330195

  • ZhendongWang6/Uformer

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

    Language:Python7331276108

  • weichen582/RetinexNet

    A Tensorflow implementation of RetinexNet

    Language:Python6391125155

  • swz30/MIRNet

    [ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

    Language:Python627143891

  • DarrenPan/Awesome-CVPR2024-Low-Level-Vision

    A Collection of Papers and Codes in CVPR2023/2022 about low level vision

    62223249

  • cszn/IRCNN

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

    Language:MATLAB5783330174

  • Algolzw/daclip-uir

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

    Language:Python53274427

  • mv-lab/swin2sr

    Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr

    Language:Python52611061

  • baidut/OpenCE

    Contrast Enhancement Techniques for low-light images

    Language:Matlab494169150

  • caiyuanhao1998/MST

    A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

    Language:Python48895368

  • Algolzw/image-restoration-sde

    Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.

    Language:Python47757933

  • XingangPan/deep-generative-prior

    Code for deep generative prior (ECCV2020 oral)

    Language:Python473131369

  • swz30/CycleISP

    [CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

    Language:Python471152670

  • caiyuanhao1998/Retinexformer

    "Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)

    Language:Python45045842

  • cszn/FFDNet

    FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

    Language:MATLAB4411532125

  • Maclory/SPSR

    Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)

    Language:Python441124582

  • cuiziteng/Illumination-Adaptive-Transformer

    [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

    Language:Python42157143

  • jiaxi-jiang/FBCNN

    Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"

    Language:Python39172034

  • caiyuanhao1998/MST-plus-plus

    "MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a toolbox for spectral reconstruction

    Language:Python38894355

  • mv-lab/InstructIR

    InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

    Language:Jupyter Notebook3846031

  • swz30/MIRNetv2

    [TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

    Language:Python36962154