aoei0606's repositories
color_image_denoising
Very efficient and effective color image denoising method.
D-AMP_Toolbox
This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.
daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
denoising-fluorescence
CVPR 2019: Fluorescence Microscopy Denoising (FMD) dataset
DISORDER
Tools for aligned reconstructions of volumetric MRI data
DnCNN-tensorflow
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
EnlightenGAN
[Preprint] "EnlightenGAN: Deep Light Enhancement without Paired Supervision"
FC-AIDE-Keras
FC-AIDE: Fully Convolutional Pixel Adaptive Image Denoiser
MCWNNM-ICCV2017
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.
Medical-Image-Synthesis
It describes MRI to CT conversion, 3T to 7T conversion using Generative Adversarial Network (GAN).
MWCNN
Multi-level Wavelet-CNN for Image Restoration
Net-SURE
Training deep learning based denoisers without ground truth data - Official Tensorflow implementation of the NeurIPS 2018 paper
On_RED
This repository is made to publish code used in "Regularization by Denoising: Clarifications and New Interpretations" by Reehorst, Schniter
PGPD-ICCV2015
Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising. ICCV, 2015.
RetinexNet
A Tensorflow implementation of RetinexNet
SEAN
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
StructureFlow
Code for paper "StructureFlow: Image Inpainting via Structure-aware Appearance Flow"
TWSC-ECCV2018
Matlab Code for "A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018".
Unsupervised-Classification
SCAN: Learning to Classify Images without Labels (ECCV 2020)
VAE-GAN-CelebA
Code and notebooks related to the paper: "Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks" by VanRullen & Reddy, 2019