何忠臣's repositories
Awesome-Pansharpening
This repository collects pan-sharpening methods, codes, and datasets.
BayeSR
The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow
DATSR
Reference-based Image Super-Resolution with Deformable Attention Transformer
Double-Branch-Dual-Attention-Mechanism-Network
⭐ Welcome to my HomePage ⭐
DS-TransUNet
This repository contains the official code of DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation
eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
IEEE_TIP_SDEnet
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification, IEEE TIP, 2023.
M3DNet
This is the code for the paper "M3DNet: Integrating Model-driven and Data-driven Approaches for Pansharpening".
MDCwFB
MDCwFB: A Multilevel Dense Connection Network with Feedback Connections for Pansharpening
MST-plus-plus
"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (Winner of NTIRE 2022 Challenge on Spectral Reconstruction from RGB)
MultulInform_PANsharpening
The implementation of CVPR 2022 paper "mutual information-driven pan-sharpening"
PAN_Sharp_INN_Transformer
AAAI 2022 (Official implementation of "pan-sharpening with customized transformer and invertible neural network")
PanFormer
Code repository for the paper "PanFormer: a Transformer Based Model for Pan-sharpening". ICME 2022
pansharpening-cnn-python-version
This is the python implementation of the paper Target-Adaptive CNN Based Pansharpening.
PGMAN
code for "PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening"
RDGAN
Implementation of "A Residual Dense Generative Adversarial Network For Pansharpening With Geometrical Constraints"
RSTT
Official pytorch implementation of paper "RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution"
SAiDL-Spring-Assignment-2022
My Implementations of Bayesian Neural Network to solve Noisy XORs and Image Super-resolution using SRCNNs and SRResNet
SwinFusion
This is official Pytorch implementation of "SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer"
TTSR
[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution
UDL
a practicable Pytorch framework used in Deep Learning. So far UDL only provide DCFNet implementation for the ICCV paper (Dynamic Cross Feature Fusion for Remote Sensing Pansharpening)