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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
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