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AI ARCHITECT STYLIZATION

GENERATIVE ARCHITECTURAL DRAWINGS OF DIFFERENT STYLES BY CLIP + VQGAN

INDEPENDENT RESEARCH, 2022

I grow interested in deep learning and neural network after I found out how Transformer networks are able to process sequential information. As I am a firm believer in measured architects, I do feel AI can provide sparks and guides when adapted properly in architecture researchers. So I started with the basic synthesis of architectural drawings with different styles, trying to capture the latent space and distribution features of renderings and line works by different architects. The model is realized by CLIP pre-training combined with VQGAN trained on ImageNet. 

Interior rendering in style

Plan drawing in style

RESEARCH

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©2021 by Zhenxiang Huang.

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