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IceClear avatar

IceClear/StableSR

0
View on GitHub↗
2,659 stars·171 forks·Python·12 viewsiceclear.github.io/projects/stablesr↗

StableSR

Paper | Project Page | Video | WebUI | ModelScope | ComfyUI

Features

  • Super Resolution - Exploiting diffusion priors for real-world image super-resolution.
  • Inverse Problems - Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.

Star history

Star history chart for iceclear/stablesrStar history chart for iceclear/stablesr

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with StableSR

These projects share indexed features with StableSR. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • zsyoaoa/resshiftzsyOAOA avatar

    zsyOAOA/ResShift

    1,407View on GitHub↗

    Zongsheng Yue, Jianyi Wang, Chen Change Loy

    Python
    View on GitHub↗1,407
  • marcelowds/sr-sdemarcelowds avatar

    marcelowds/sr-sde

    19View on GitHub↗

    This project was built using a fork of Score-SDE

    Python
    View on GitHub↗19
  • spipm/depixelization_pocspipm avatar

    spipm/Depixelization_poc

    4,535View on GitHub↗

    This project is an AI upscaling framework and deep learning image restorer designed to estimate original source pixels from low-resolution inputs. It functions as a super-resolution reconstruction system that transforms pixelated images into high-resolution versions by restoring high-frequency details and sharpening edges. The system utilizes a convolutional neural network pipeline to analyze pixel data and perform digital image restoration. It employs pixel-shuffle upsampling to rearrange channel dimensions into spatial dimensions, which increases resolution while reducing checkerboard artif

    Python
    View on GitHub↗4,535
  • paddlepaddle/paddleganPaddlePaddle avatar

    PaddlePaddle/PaddleGAN

    8,043View on GitHub↗

    PaddleGAN is a generative AI framework and deep learning computer vision library built on the PaddlePaddle framework. It serves as a toolkit for image and video synthesis, providing a collection of generative adversarial network implementations for creating synthetic visual content. The library focuses on advanced synthesis capabilities, including the generation of talking heads through lip motion synchronization and the creation of synthetic videos via motion transfer from driving sequences. It provides tools for domain-to-domain translation, allowing for image style transfer and the transfo

    Pythonanimeganv2basicvsrpluspluscyclegan
    View on GitHub↗8,043
Compare all 30 related projects→

Frequently asked questions

What does iceclear/stablesr do?

Paper | Project Page | Video | WebUI | ModelScope | ComfyUI

What are the main features of iceclear/stablesr?

The main features of iceclear/stablesr are: Super Resolution, Inverse Problems.

Which projects share features with iceclear/stablesr?

Projects with overlapping indexed features include: marcelowds/sr-sde — This project was built using a fork of Score-SDE. zsyoaoa/resshift — Zongsheng Yue, Jianyi Wang, Chen Change Loy. spipm/depixelization_poc — This project is an AI upscaling framework and deep learning image restorer designed to estimate original source pixels… paddlepaddle/paddlegan — PaddleGAN is a generative AI framework and deep learning computer vision library built on the PaddlePaddle framework.… arpitbansal297/cold-diffusion-models — Official implementation of Cold-Diffusion for different transformations in pytorch. ar0kim/fidesr.