FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs

Understand

Coarse building mass models are now routinely generated at scales ranging from individual buildings through to whole cities.

• For example, they can be abstracted from raw measurements, generated procedurally, or created manually.
• However, these models typically lack any meaningful semantic or texture details, making them unsuitable for direct display.
• We introduce the problem of automatically and realistically decorating such models by adding semantically consistent geometric details and textures.