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pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch-unet-1

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

pytorch-vdsr

VDSR (CVPR2016) pytorch implementation

pytorch_wavelets

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

pytorchwavelets

PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)

rcf-pytorch

Richer Convolutional Features for Edge Detection model in pytorch CVPR2017

rdn-pytorch

Implement RDN with pytorch

reslf

Residual Networks for Light Field Image Super-Resolution

resources

A list of data sets and other resources for light fields for computer vision

rrn

rsdn

Code for paper "Video Super-Resolution with Recurrent Structure-Detail Network" . The code is under preparation and is coming soon.

semiglobalmatching

SGM，立体匹配最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！

sfm-python

三维重建算法Structure from Motion(Sfm)的python实现

spinning-parallelogram-operator

Robust Depth Estimation for Light Field via Spinning Parallelogram Operator

super-resolution

collection of super-resolution models & algorithms

tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

torch-light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

ttsr

[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution

unet-segmentation-pytorch-nest-of-unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vsr-transformer

VSR-Transformer

waveletsrnet

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"

wmcnn-pytorch

The Pytorch reproduction of WMCNN [Aerial Image Super Resolution via Wavelet Multiscale Convolutional Neural Networks]

wmcnn-pytorch-netmodel

accoding to the artical [Aerial Image Super Resolution via Wavelet Multiscale Convolutional Neural Networks] If you use this code, please cite the paper.I stripped out the network modle of the article using the pytorch

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite