This repository contains several image-to-image translation models, whcih were tested for RGB to NIR image generation. The models are Pix2Pix, Pix2PixHD, CycleGAN and PointWise.

Overview

RGB2NIR_Experimental

This repository contains several image-to-image translation models, whcih were tested for RGB to NIR image generation. The models are Pix2Pix, Pix2PixHD, CycleGAN and PointWise.

Dataset

The dataset including RGB and NIR images is located here: https://drive.google.com/drive/folders/1uJx_SLi0ePYqhn-lJ8p5whAy5spUsect?usp=sharing, where "RGB_Images" and "MSI_images containg RGB and mltispectral images acquired with digtial and multispectral 9 band camera at the same time periods, respectively.

How to read and understang RGB image

Citation

In this project we used the code and methodolgy by:

@inproceedings{CycleGAN2017, title={Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks}, author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A}, booktitle={Computer Vision (ICCV), 2017 IEEE International Conference on}, year={2017} }

@inproceedings{isola2017image, title={Image-to-Image Translation with Conditional Adversarial Networks}, author={Isola, Phillip and Zhu, Jun-Yan and Zhou, Tinghui and Efros, Alexei A}, booktitle={Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on}, year={2017} }

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