Code for the paper at ACM SIGSPATIAL 2018, using cGAN to generate ground-level views from satellite images
The dataset is available at https://drive.google.com/drive/folders/1q21ZiOVPIzTkiEy0FBwTHJquy_VEAdP6?usp=sharing And you should download the features extracted by image patches. gmap_patch1.txt
@inproceedings{Deng:2018:LDG:3274895.3274969,
author = {Deng, Xueqing and Zhu, Yi and Newsam, Shawn},
title = {What is It Like Down There?: Generating Dense Ground-level Views and Image Features from Overhead Imagery Using Conditional Generative Adversarial Networks},
booktitle = {Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems},
series = {SIGSPATIAL '18},
year = {2018},
isbn = {978-1-4503-5889-7},
location = {Seattle, Washington},
pages = {43--52}, }