This is the official repo for the paper: FROM EXPLORATION TO INTERPRETATION:Adopting Deep Representation Learning Models to Latent Space Interpretation of Architectural Design Alternatives, which offers a framework for editing architectural design images.
If you find the code in our research useful, please consider cite:
@inproceedings{chen_exploration_2021,
title = {From Exploration to Interpretation-Adopting Deep Representation Learning Models to Latent Space Interpretation of Architectural Design Alternatives},
volume = {1},
eventtitle = {{CAADRIA}},
pages = {131--140},
booktitle = {{PROJECTIONS}, Proceedings of the 26th International Conference of the Association for Computer-Aided Architectural Design Research in Asia},
author = {Chen, Jielin and Stouffs, Rudi},
date = {2021},
note = {Publisher: {CUMINCAD}},
}
Part of the code is inspired by NVlabs/stylegan2, genforce/higan and genforce/interfacegan.