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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

basicsr

Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.

bsrdm

Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)

cincgan-pytorch

Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.

classsr

(CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

dbpn-pytorch

Deep Back-Projection Networks for Super-Resolution

deep-q-learning

Deep reinforcement learning using a deep Q-network with a dueling architecture.

deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

diffpir

"Denoising Diffusion Models for Plug-and-Play Image Restoration", Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool.

distribute_mnist

TensorFlow分布式MNIST手写字体识别实例

docker-hub

to build images from foreign

driverpostureclassification

PyTorch-based Driver Posture Classification

edsr-pytorch

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

edvr

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

enas-pytorch-1

"Efficient Neural Architecture Search via Parameter Sharing" implementation in PyTorch

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

extension-cpp

C++ extensions in PyTorch

fkp

Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)

future-consumption-prediction

hrnet-facial-landmark-detection

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

kair

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

kernelgan

lapsrn

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)

machine_learning_experiment

ml2017-lab-02

逻辑回归、线性分类和随机梯度下降

ml2017-lab-03

ml2017-lab-04

mzsr

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)