Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Diffusion models, image editing, upscaling and the surrounding creative tooling.
Signals: stable-diffusion, diffusion-models, image-generation, text-to-image, generative-art, comfyui, controlnet, flux
880 results
Code of SIGGRAPH 2023 Conference paper: StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video
A Python implementation of RAISR
Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)
The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
This project is the official implementation of 'Diffir: Efficient diffusion model for image restoration', ICCV2023
Lovely Real-ESRGAN / Real-CUGAN GUI Wrapper
All image quality metrics you need in one package.
PyTorch implementation of Real-ESRGAN model
[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
A Collection of Papers and Codes in CVPR2023/2022 about low level vision
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
[IJCAI'24] Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
[CVPR 2024 Oral] Official repository of FMA-Net
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
Real-World Super-Resolution via Kernel Estimation and Noise Injection
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
Efficient & Generic Video Super-Resolution
24,523 repositories in the index in total.
