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iPLAN: Interactive and Procedural Layout Planning
[article]
2022
arXiv
pre-print
Layout design is ubiquitous in many applications, e.g. architecture/urban planning, etc, which involves a lengthy iterative design process. Recently, deep learning has been leveraged to automatically generate layouts via image generation, showing a huge potential to free designers from laborious routines. While automatic generation can greatly boost productivity, designer input is undoubtedly crucial. An ideal AI-aided design tool should automate repetitive routines, and meanwhile accept human
arXiv:2203.14412v2
fatcat:ikbralel7jedjppewpseo53f3m