Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
single-image-super-resolution 开源项目推荐(38 个)
single-image-super-resolution 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 38 个仓库基于TensorFlow 2.x实现EDSR、WSWR和SRGAN,用于单张图像超分辨率
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
📷 [ECCV 2022] Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection
天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码,EDVR、WDSR、ESRGAN三个模型。
DF2K dataset download script
Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
[AAAI 2025] Official implementation of the paper "EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution".
A simple convolutional neural network for single image super-resolution
Second-order Attention Network for Single Image Super-resolution (CVPR-2019)
PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)
A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN
This repository includes code of training/testing of our work published in NTIRE-2020 workshop titled "Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network".
PyTorch implementation of Frequency-based Enhancement Network for Efficient Super-Resolution. (IEEE Access2022)
TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
CVPR 2021 Oral Paper PatchGenCN
figsr — a frequency-domain (FFT-based) SISR architecture. Enhances detail reconstruction and inference speed, combining the strengths of CNNs and Transformers while mitigating their core limitations.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/single-image-super-resolution。
- 该话题在 GitHub 上共有 38 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 6806 Star,覆盖 4 种主要语言,数据更新于 2026-11-08。
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