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addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

aodnet-by-pytorch

Image Dehaze, Pytorch, An All-in-One Network for Dehazing, AOD-Net

awsrn

PyTorch code for our paper "Lightweight Image Super-Resolution with Adaptive Weighted Learning Network"

caffe

Caffe on both Linux and Windows

carn-pytorch

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018)

cutblur

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

dbpn-pytorch

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

dcnv2

Deformable Convolutional Networks v2 with Pytorch

deformable-convolution-v2-pytorch

Deformable ConvNets V2 (DCNv2) in PyTorch

dehazenet

an end to end dehaze tools

dehazenet_pytorch

A Pytorch implementation for DehazeNet in paper 'DehazeNet: An End-to-End System for Single Image Haze Removal'

dehazezoo

DehazeZoo for collecting dehazing methods, datasets, and codes.

drn

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

drrn-pytorch

Pytorch implementation of Deep Recursive Residual Network for Super Resolution (DRRN), CVPR 2017

edsr-pytorch

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

efficient-super-resolution-challenge

gfn-dehazing

Gated Fusion Network for Single Image Dehazing

ghostnet.pytorch

[CVPR2020] GhostNet: More Features from Cheap Operations

griddehazenet

This repo contains the official training and testing codes for our paper: GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing.

image_dehaze

Single Image Haze Removal Using Dark Channel Prior

imdn

Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019)

knowledge-distillation-for-super-resolution

ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

mwcnn

Multi-level Wavelet-CNN for Image Restoration

mwcnn_pytorch

Training Code for MWCNN in PyTorch environment

mwcnnv2

Multi-level Wavelet Convolutional Neural Networks

pytorch-edsr

Pytorch implementation for EDSR (CVPR2017)

pytorch-lapsrn

Pytorch implementation for LapSRN (CVPR2017)

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