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Top 18 image-restoration Open-Source Projects
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Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
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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.
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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.
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Real-ESRGAN-ncnn-vulkan
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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MPRNet
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
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maxim
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
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swin2sr
[ECCV] 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
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traiNNer
traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
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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
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tdanet
The pytorch implementation of the paper "text-guided neural image inpainting" at MM'2020 (oral)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: Ask HN: What is the state of the art in AI photo enhancement? | news.ycombinator.com | 2024-01-24
Project mention: AI-Powered Nvidia RTX Video HDR Transforms Standard Video into HDR Video | news.ycombinator.com | 2024-01-24It'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.
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.
Project mention: A smooth and sharp image interpolation you probably haven't heard of | news.ycombinator.com | 2024-05-02
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.
Don't even need topaz, there's plenty of free upscale models check the openmodeldb, and you have reve which is based on Real-ESRGAN-ncnn-vulkan.
git clone https://github.com/victorca25/traiNNer.git
image-restoration related posts
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Photorealistic Video Generation with Diffusion Models
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Old Photo Restoration Extension~
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Image Restoration Extension Request
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What neural net for SISR?
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Cant make concurrent calls to Model
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Outis my beloved
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ComicMerge (Beta testing version - SafeTensors)
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A note from our sponsor - InfluxDB
www.influxdata.com | 10 May 2024
Index
What are some of the best open-source image-restoration projects? This list will help you:
Project | Stars | |
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1 | GFPGAN | 34,686 |
2 | Real-ESRGAN | 26,181 |
3 | Bringing-Old-Photos-Back-to-Life | 14,475 |
4 | SwinIR | 4,091 |
5 | NAFNet | 2,002 |
6 | Restormer | 1,554 |
7 | Real-ESRGAN-ncnn-vulkan | 1,358 |
8 | MPRNet | 1,106 |
9 | DDNM | 1,033 |
10 | maxim | 952 |
11 | swin2sr | 533 |
12 | FBCNN | 393 |
13 | MIRNet-TFJS | 347 |
14 | traiNNer | 275 |
15 | maxim-pytorch | 159 |
16 | tdanet | 83 |
17 | GFPGAN-for-Video-SR | 32 |
18 | Real-ESRGAN-Video-Batch-Process | 23 |
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