windcr

super-resolution

collection of super-resolution models & algorithms

RePaint

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

RCAN-PyTorch

PyTorch implements `Image Super-Resolution Using Very Deep Residual Channel Attention Networks` paper.

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

PaddleGAN

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

RFDN

Residual Feature Distillation Network for Lightweight Image Super-Resolution

MSRResNet

cutblur

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

USRNet

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

KAIR

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

DRN

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

python-all

all code used by python(including web-crawler,deeplearning)

Super-Resolution

information collection for super-resolution

XMU_master_and_doctor_degree_thesis

厦门大学硕士博士毕业论文模板

mmdetection

OpenMMLab Detection Toolbox and Benchmark

partialconv

A New Padding Scheme: Partial Convolution based Padding

CRAFT-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

EAST

This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.

Awesome-Super-Resolution

Collect super-resolution related papers, data, repositories

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

wdsr_ntire2018

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

Deeplab-v2--ResNet-101--Tensorflow

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

dilated

Smoothed Dilated Convolutions for Improved Dense Prediction

gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

IDN-pytorch

paper implement : Fast and Accurate Single Image Super-Resolution via Information Distillation Network

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

RCAN

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

sparsemax