Pinned Repositories
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.
SRTTA
DengZeshuai's Repositories
DengZeshuai/SRTTA
DengZeshuai/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
DengZeshuai/BasicSR
Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.
DengZeshuai/BSRDM
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)
DengZeshuai/CinCGAN-pytorch
Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.
DengZeshuai/ClassSR
(CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
DengZeshuai/DBPN-Pytorch
Deep Back-Projection Networks for Super-Resolution
DengZeshuai/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.
DengZeshuai/docker-hub
to build images from foreign
DengZeshuai/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
DengZeshuai/EDVR
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks
DengZeshuai/ENAS-pytorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
DengZeshuai/enas-pytorch-1
"Efficient Neural Architecture Search via Parameter Sharing" implementation in PyTorch
DengZeshuai/ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
DengZeshuai/FKP
Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
DengZeshuai/future-consumption-prediction
DengZeshuai/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
DengZeshuai/KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
DengZeshuai/KernelGAN
DengZeshuai/MZSR
Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
DengZeshuai/OctConv
Code for paper
DengZeshuai/proSR
Repository containing an independent implementation of the paper: "A Fully Progressive Approach to Single-Image Super-Resolution"
DengZeshuai/RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
DengZeshuai/SAN
Second-order Attention Network for Single Image Super-resolution (CVPR-2019)
DengZeshuai/SMSR
[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference
DengZeshuai/SparseConvNet
Submanifold sparse convolutional networks
DengZeshuai/SRP
[ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"
DengZeshuai/USRNet
DengZeshuai/XGBoost
DengZeshuai/yolov5-face
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)