Neuro-Symbolic Transformation of Architectural Facades into Their Procedural Representations

This is the authors' abstract. We don't add key points for this paper.

We introduce a neuro-symbolic transformer model that converts flat, segmented facade structures into procedural definitions using a custom-designed split grammar. To facilitate this, we first develop a split grammar tailored for architectural facades and generate a dataset of facades alongside their procedural representations. This dataset is used to train our transformer model to convert segmented, flat facades into the procedural language of our grammar.