Kuijiang94's Projects
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
Adaptive-threshold-based Multi-model Fusion Network for Compressed Face Image Hallucination
【干货】史上最全的PyTorch学习资源汇总
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
we proposed a light-weigt but efficient blanced attention mechanism for SISR task.
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (PyTorch) - We released the testing code!
DANet: Image Deraining via Dynamic Association Learning
A pytorch implementation of "Domain-Adaptive Few-Shot Learning"
[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution
DAWN: Direction-aware Attention Wavelet Network for Image Deraining
DAWN+: Wavelet-based Image Deraining Meets Direction-aware Attention and Mutual Representation
Deep Distillation Recursive Network for Video Satellite Imagery Super-Resolution
Official DeiT repository
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)
DRF: Disentangled Representation for Visible and Infrared Image Fusion
Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement
Edge Enhanced GAN For Remote Sensing Image Super-Resolution
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
Code for paper: "Visual Explanation for Deep Metric Learning"
A collection of state-of-the-art face hallucination methods
[ECCV'22] Official PyTorch Implementation of "Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers"
FMRNet: Image Deraining via Frequency Mutual Revision
[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image Matting
[NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
KuiJiang‘s homepage
A list of hyperspectral image super-solution resources collected by Junjun Jiang