Simulation of Natural Landscapes Using Deep Learning and VR Rendering Models in Digital Art for Modern Historic Buildings
This technical reappraisal reconstructs a two-stage deep-learning workflow for semantic analysis and visual rendering of landscape architectural plans. The intended pipeline uses a fully convolutional network (FCN) to assign labelled pixels to 11 landscape categories and then applies a cycle-consistent generative adver...