Python image-restoration

Open-source Python projects categorized as image-restoration

Top 14 Python image-restoration Projects

  • GFPGAN

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

  • Project mention: Ask HN: What is the state of the art in AI photo enhancement? | news.ycombinator.com | 2024-01-24
  • Real-ESRGAN

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

  • Project mention: AI-Powered Nvidia RTX Video HDR Transforms Standard Video into HDR Video | news.ycombinator.com | 2024-01-24

    It's not exactly what you're after, as it's anime specific and you need to process the video yourself (eg disassemble to frames, run the upscaler, then assemble back to a movie file), but Real-ESRGAN is really good:

    https://github.com/xinntao/Real-ESRGAN/

    It's pretty brilliant for cleaning up very old, low resolution anime.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • Bringing-Old-Photos-Back-to-Life

    Bringing Old Photo Back to Life (CVPR 2020 oral)

  • Project mention: Old Photo Restoration Extension~ | /r/StableDiffusion | 2023-12-05

    This is an Extension that integrates Bringing Old Photos Back to Life, an old photo restoration algorithm, into the Automatic1111 Webui, as suggested by this post. User can process a photo, then send it to img2img or Inpaint for further refinement.

  • SwinIR

    SwinIR: Image Restoration Using Swin Transformer (official repository)

  • NAFNet

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

  • Project mention: Workflow to denoise low quality images? | /r/comfyui | 2023-11-29

    I've tried using NAFNet but this simply does not work on most images I've tried. I've tried using VEAencode then using low denoise parameter on a KSampler while describing the image as much as possible and did not get good results as well.

  • 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.

  • MPRNet

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

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • DDNM

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

  • maxim

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

  • 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

  • FBCNN

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

  • traiNNer

    traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

  • Project mention: Unable to run stable diffusion locally | /r/StableDiffusion | 2023-06-07

    git clone https://github.com/victorca25/traiNNer.git

  • maxim-pytorch

    [CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim

  • Project mention: Need help to reduce vision transformer patch artifacts | /r/computervision | 2023-04-28

    Hi there, i'm trying to do image enhancement task. Basically you give it some image and it makes it more colorful, vibrant, changes up some exposure and other things. I'm implementing it with Google Maxim architecture in pytorch. Unfortunately they dont include training code (original one is in JAX) and pyotorch only has the network, not training code.

  • tdanet

    The pytorch implementation of the paper "text-guided neural image inpainting" at MM'2020 (oral)

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Python image-restoration related posts

Index

What are some of the best open-source image-restoration projects in Python? This list will help you:

Project Stars
1 GFPGAN 34,594
2 Real-ESRGAN 25,999
3 Bringing-Old-Photos-Back-to-Life 14,416
4 SwinIR 4,060
5 NAFNet 2,001
6 Restormer 1,537
7 MPRNet 1,098
8 DDNM 1,022
9 maxim 940
10 swin2sr 526
11 FBCNN 391
12 traiNNer 275
13 maxim-pytorch 159
14 tdanet 83

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