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2019-tmi-adn_-artifact-disentanglement-network-for-unsupervised-metal-artifact-reduction

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

2021-cvpr-pre-trained-image-processing__transformer

2021-iccv-tokens-to-token-vit_-training-vision-transformers-from-scratch-on-imagenet

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

2021-tim-du-gan_-generative-adversarial-networks-with-dual-domain-u-net-based-discriminators-for-low

DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising

2022-cvpr-all-in-one-image-restoration-for-unknown-corruption

PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)

2022-tpami-institute-of-electrical-and-electronics-engineers-ieee-bayesian-image-super-resolution-

The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow

a-sparse-view-ct-reconstruction-method-based-on-combination-of-densenet-and-deconvolution

code for the paper entitled "A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution"

acdnet

【IJCAI2022】Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

art

PyTorch code for our ICLR 2023 paper "Accurate Image Restoration with Attention Retractable Transformer".

attention-augmented-conv

Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

cfmnet

Flexible image denoising model with multi-layer conditional feature modulation

cncl-denoising

2021-TMI-Content-Noise Complementary Learning for Medical Image Denoising.

cold-diffusion-models

Official implementation of Cold-Diffusion for different transformations in pytorch.

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

corediff

2024-TMI-CoreDiff Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization-CoreDiff

cotnet

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

cotnet-50

Implementation of CoTNet in ResNet-50

cotnet-objectdetection-instancesegmentation

Contextual Transformer Networks for Visual Recognition for Object Detection and Instance Segmentation

cpce-3d

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

cwr

2021-CVPR-Single underwater__image restoration by contrastive learning

cyclegan-ct-denoising

Low Dose CT Image Denoising Using a Cycle-Consistent Adversarial Networks.

dclgan

Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.

deep-image-prior

Image restoration with neural networks but without learning.

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

dicdnet

DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reductionin CT Images

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dmdnet

2022-TPAMI-Learning Dual Memory Dictionaries for Blind Face Restoration

dml_ct

Official Pytorch implementation of "Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising" (MICCAI 2022)