Pinned Repositories
A-ESRGAN
A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.
academic-homepage
Academic_Slide
Image super-resolution related banner.
AIDSRGAN-MICCAI2022
Official Pytorch Code for "Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN" - MICCAI 2022 Workshop
China-software-copyright
Chinese software copyright application template document
DASRGAN
Official PyTorch implementation of the paper Target-oriented Domain Adaptation for Infrared Image Super-Resolution.
Infrared_Image_SR_PSRGAN
Official PyTorch implementation of the paper Infrared Image Super-Resolution via Transfer Learning and PSRGAN accepted by IEEE SPL.
Infrared_Image_SR_Survey
We are updating the information and adjusting the pages on this code! If you want to provide some good papers, please send us on the issues! Hope that we can provide some intreseting works for the infrared image super- resolution!
IRSRMamba
Official PyTorch implementation of the paper IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model.
Noise2Noise
yongsongH's Repositories
yongsongH/arbitrary-text-to-image-papers
A collection of arbitrary text to image papers with code (constantly updating)
yongsongH/ARNet
CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
yongsongH/chinese_im2text.pytorch
PyTorch implementation of Chinese image captioning on AI_challenger dataset
yongsongH/CinCGAN-pytorch
Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.
yongsongH/convcap
yongsongH/curve-gcn
Official PyTorch code for Curve-GCN (CVPR 2019)
yongsongH/ELM-Pytorch-1
Pytorch implementation of Extreme Learning Machine
yongsongH/ESPCN
A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"
yongsongH/espcn-1
espcn的简单实现,提供两种类型的神经网络.感觉中和下两种网络的特性可以达到更好的效果.
yongsongH/ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
yongsongH/esrgan_v1
Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.
yongsongH/Image-Caption-Pytorch
This is an implementation of image caption, based on two different papers. The two papers are: 1. Show and Tell: A Neural Image Caption Generator 2. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
yongsongH/Image_Caption_Generation
A reimplementation of Show and Tell
yongsongH/LeakGAN
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
yongsongH/MHCLN
Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
yongsongH/ML_GCN
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
yongsongH/Python-ELM
Extreme Learning Machine implementation in Python
yongsongH/RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
yongsongH/RetinexNet_PyTorch
a pytorch reimplement of RetinexNet
yongsongH/semstyle
Code for learning to generate stylized image captions from unaligned text
yongsongH/SKNet
Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu:https://zhuanlan.zhihu.com/p/59690223
yongsongH/srgan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
yongsongH/SRGAN-1
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
yongsongH/SRGAN-W
A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp implementation of SRGAN referring to "Improved Training of Wasserstein GANs".
yongsongH/SubSpectralNet-PyTorch
PyTorch Implementation of SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural Networks for Acoustic Scene Classification, accepted in ICASSP 2019
yongsongH/super-resolution
collection of super-resolution models & algorithms
yongsongH/TensorFlow-OS-ELM
A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)
yongsongH/vqa.pytorch
Visual Question Answering in Pytorch
yongsongH/WassersteinGAN
yongsongH/weixin_crawler
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