Zhong Zhuang's repositories
Awesome-Image-Quality-Assessment
A comprehensive collection of IQA papers
HandyView
Handy image viewer based on PyQt5. Convenient for viewing and comparing :-)
PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
mmediting
MMEditing is a low-level vision toolbox based on PyTorch, supporting super-resolution, inpainting, matting, video interpolation, etc.
KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
ECBSR
Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021
Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
PerceptualSimilarity
LPIPS metric. pip install lpips
RealSR-1
Real-World Super-Resolution via Kernel Estimation and Noise Injection
Real-SR
Real-World Super-Resolution via Kernel Estimation and Noise Injection
RankIQA.PyTorch
基于PyTorch实现的图像质量评估模型RankIQA
real-world-sr
[ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This code was the winning solution of the AIM challenge on Real-World Super-Resolution at ICCV 2019
DRN
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
cutblur
Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)
densenet-pytorch
a simple application of densenet in pytorch
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
RealSR
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
Single-Image-Super-Resolution
A collection of high-impact and state-of-the-art SR methods
IKC
Implementation of 'Blind Super-Resolution With Iterative Kernel Correction', based on BasicSR
knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
awesome-knowledge-distillation
Awesome Knowledge Distillation
12306
12306智能刷票,订票
pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
RankSRGAN
ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
SAN
Second-order Attention Network for Single Image Super-resolution (CVPR-2019)