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
Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
Pytorch implementation for LapSRN (CVPR2017)
This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).
[ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline
[CVPR 2019] Learning Parallax Attention for Stereo Image Super-Resolution
traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
[NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution
[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution
neosr is an open-source framework for training super-resolution models.
(ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
[CVPR 2025] Official code repository for "Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach"
We simulate traveling back in time with a modern camera to rephotograph famous historical subjects.
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration", CVPR2021
Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021
[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020
[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)
An application specialized in image super-resolution for ACGN illustrations and Visual Novel CG. 专注于插画/Galgame CG等ACGN领域的图像超分辨率的应用
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
VDSR (CVPR2016) pytorch implementation
TOFlow: Video Enhancement with Task-Oriented Flow
24,523 repositories in the index in total.
