[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"

code for 《Mind the Gap: Mutil-Level Unsupervised Domain Adaptation for Cross-scene Hyperspectral Image Classification》

SuperYOLO is accepted by TGRS

A small codebase featuring a few elementary methods for SAR and Optical imagery data fusion

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Code for NeurIPS 2019 paper "Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis"

Semantic Image Synthesis with SPADE

SAR Raw data Imagery simulator in python

[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models

Interactive Image Generation via Generative Adversarial Networks

Generation of Synthetic Aperture Radar (SAR) images using Generative Adversarial Networks (GANs)

A Rotation RetinaNet Pytorch Implementation on HRSC and SSDD Dataset.

👁 2022年数字中国创新大赛 (DCIC 2022) 卫星应用赛题——海上船舶智能检测第三名解决方案

Project for paper "SAR-HUB: Pre-training, Fine-tuning, and Explaining"

An official implementation for "Physics Inspired Hybrid Attention for SAR Target Recognition"

This package provides a pythorch implementation of "GAN-Control: Explicitly Controllable GANs", ICCV 2021.

Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis, CVPR 2020

Contains code to translate from EO to SAR images and vice versa to another using pix2pix, CycleGAN, and VQGAN.

基于非同源数据的SAR图像生成方法研究

TSGAN: An Optical-to-SAR Dual Conditional GAN for Optical based SAR Temporal Shifting

Offical implementation of MSFA and release of SARDet_100K dataset for Large-Scale Synthetic Aperture Radar (SAR) Object Detection

The repository contains the implementations for Global-local Transformer Network for HSI and LiDAR Data Joint Classification.

Code to use and evaluate Probabilistic Diffusion Models for SAR and InSAR Satellite imagery

Converting SAR images from sentinel 1 to RGB images using Deep learning (GANs).