The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 23 Python super-resolution Projects
-
-
Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
-
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.
-
video2x
A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
-
PaddleGAN
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
-
BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
-
image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
-
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.
-
Image-Super-Resolution-via-Iterative-Refinement
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
-
SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
-
SUPIR
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild
-
-
super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
-
BSRGAN
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
-
a-PyTorch-Tutorial-to-Super-Resolution
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
-
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.
CodeFormer
Project mention: Upscayl – Free and Open Source AI Image Upscaler | news.ycombinator.com | 2024-03-31
Project mention: About Open Source Image and Video Restoration Toolbox | news.ycombinator.com | 2024-02-27
Current SOTA open source is I believe SUPIR (Example - https://replicate.com/p/okgiybdbnlcpu23suvqq6lufze), but it needs a lot of VRAM, or you can run it through replicate, or here's the repo (https://github.com/Fanghua-Yu/SUPIR)
A professor suggested to try to fine tune the state of the art model StableSR, but there's just no way I can run the it on either the hardware I have access to or Colab (even tho I do have the pro version).
I've been interested in this sorta thing as well recently. This is an outstanding upscaler that uses SD2.1 to add detail to the image: https://github.com/pkuliyi2015/sd-webui-stablesr - A1111 Extension hardly mentioned. Developers have an SDXL trained models listed on their todo/coming soon. Heavy on the resources but for me the results have been excellent. Prob some other more known things (like a complicated comfy workflow maybe you can just download)
Project mention: Linux Audio Noise suppression using deep filtering in Rust | news.ycombinator.com | 2023-06-06
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).
The latest post mention was on 2024-03-31.
Python super-resolution related posts
- Photorealistic Video Generation with Diffusion Models
- How do I change the learning hub video resolution?
- Upscaling Realism of an Image
- What neural net for SISR?
- Cant make concurrent calls to Model
- Outis my beloved
- ComicMerge (Beta testing version - SafeTensors)
-
A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Index
What are some of the best open-source super-resolution projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | GFPGAN | 34,533 |
| 2 | Real-ESRGAN | 25,886 |
| 3 | CodeFormer | 13,301 |
| 4 | video2x | 8,602 |
| 5 | PaddleGAN | 7,666 |
| 6 | BasicSR | 6,143 |
| 7 | image-super-resolution | 4,487 |
| 8 | SwinIR | 4,060 |
| 9 | Image-Super-Resolution-via-Iterative-Refinement | 3,339 |
| 10 | SinGAN | 3,281 |
| 11 | SUPIR | 3,261 |
| 12 | SRGAN | 3,192 |
| 13 | StableSR | 1,800 |
| 14 | QualityScaler | 1,708 |
| 15 | super-resolution | 1,452 |
| 16 | VRT | 1,242 |
| 17 | BSRGAN | 1,120 |
| 18 | sd-webui-stablesr | 949 |
| 19 | voicefixer | 896 |
| 20 | EGVSR | 881 |
| 21 | Fast-SRGAN | 636 |
| 22 | sewar | 565 |
| 23 | a-PyTorch-Tutorial-to-Super-Resolution | 536 |
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com