Filters








2 Hits in 2.2 sec

House-GAN++: Generative Adversarial Layout Refinement Networks [article]

Nelson Nauata, Sepidehsadat Hosseini, Kai-Hung Chang, Hang Chu, Chin-Yi Cheng, Yasutaka Furukawa
2021 arXiv   pre-print
This paper proposes a novel generative adversarial layout refinement network for automated floorplan generation.  ...  Our architecture is an integration of a graph-constrained relational GAN and a conditional GAN, where a previously generated layout becomes the next input constraint, enabling iterative refinement.  ...  Abstract This paper proposes a novel generative adversarial layout refinement network for automated floorplan generation.  ... 
arXiv:2103.02574v1 fatcat:kqeskhqec5dulesb23mkl6gkme

House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation [article]

Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng, Greg Mori, Yasutaka Furukawa
2020 arXiv   pre-print
This paper proposes a novel graph-constrained generative adversarial network, whose generator and discriminator are built upon relational architecture.  ...  We measure the quality of generated house layouts with the three metrics: the realism, the diversity, and the compatibility with the input graph constraint.  ...  House-GAN House-GAN is a relational generative adversarial network.  ... 
arXiv:2003.06988v1 fatcat:l3awmdlkxrau3flx5l64oigbea