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a-pytorch-tutorial-to-super-resolution

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

allenptnk

Config files for my GitHub profile.

carn-pytorch

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018)

downscale-satellitelst

A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.

dressgan

Dress styles generation using GANs using TensorFlow

dsamnet

Codes for “A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection”

eesrgan

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

gansformer

Generative Adversarial Transformers

mrunet-for-modis-super-resolution

This is the github repository for the article: Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution

spectralnet

srcdnet

The pytorch implementation for "Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions ".

srcnn

Super Resolution for Satellite Imagery

srgan-keras-implementation

Photo Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

stanet

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

transgan

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang