vkxuds's Stars
MingtaoGuo/Calligraphic-Images-Denoising-by-GAN
Calligraphic Images Denoising by GAN
gregbugaj/unet-denoiser
swz30/Restormer
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
gvfjyy/imageDenoise-UNet-VGG
拓片图像去噪,以UNet为基本框架,编码器基于VGG16
ijackyang/Unet-Image-Denoise
using fully Convolutional network(UNet) to remove the noise in image
90n9-yu/PT-WGAN
Code for paper "Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising"
bowenliv/Pix2Pix-Denoise
taehoon-yoon/CT-denoising-using-CycleGAN
AAPM Low Dose CT data denoising using Cycle GAN
KeepTryingTo/Python-
主要集中于各个研究领域的小案例进行Python实战
SecretMG/UNet-for-Image-Denoising
Established a UNet model to deal with image denoising problem
zhixuhao/unet
unet for image segmentation
FanChiMao/SUNet
SUNet: Swin Transformer with UNet for Image Denoising
mdhosen/Mask-Face-Inpainting-Using-Residual-Attention-Unet
Masked Face Inpainting Through Residual Attention UNet
AlphacatPlus/VmambaIR
This is official implementtaion of "VmambaIR: Visual State Space Model for Image Restoration"
JingyunLiang/SwinIR
SwinIR: Image Restoration Using Swin Transformer (official repository)
csguoh/MambaIR
[ECCV2024] An official pytorch implement of the paper "MambaIR: A simple baseline for image restoration with state-space model".
dleninja/frangi_filter
Frangi Filter for vessel enhancement using MATLAB.
icon-lab/SynDiff
Official PyTorch implementation of SynDiff described in the paper (https://arxiv.org/abs/2207.08208).
ninja-build/ninja
a small build system with a focus on speed
poloclub/ganlab
GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks
MengjieSHI/learning-based-sos-correction-us-pa
chenyilan/Y-Net
The source code of "Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo"
axd465/PAM_Deep_Learning_Undersampling_Publication
This project contains the continued work to perfect a model for upsampling undersampled Photoacoustic Microscopy (PAM) images.
egrigokhan/deep-visual-hull-prior
Pytorch implementation for Deep Visual Hull Prior
manumathewthomas/ImageDenoisingGAN
Image Denoising with Generative Adversarial Network
taesungp/contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
phillipi/pix2pix
Image-to-image translation with conditional adversarial nets
torch/distro
Torch installation in a self-contained folder
goodfeli/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"