Guided Proceduralization: Optimizing Geometry Processing and Grammar Extraction for Architectural Models
This addresses the problem of time-consuming manual processes and difficult control in procedural generation for architectural modeling, though it appears incremental as it builds on existing proceduralization concepts.
The paper tackles the problem of converting manually modeled architectural 3D models into editable procedural representations, bridging the gap between manual creation and procedural generation. The result is a framework that enables efficient artistic workflows with user-controlled procedural expressiveness, demonstrated through applications like guided point cloud completion and controllable 3D city modeling.
We describe a guided proceduralization framework that optimizes geometry processing on architectural input models to extract target grammars. We aim to provide efficient artistic workflows by creating procedural representations from existing 3D models, where the procedural expressiveness is controlled by the user. Architectural reconstruction and modeling tasks have been handled as either time consuming manual processes or procedural generation with difficult control and artistic influence. We bridge the gap between creation and generation by converting existing manually modeled architecture to procedurally editable parametrized models, and carrying the guidance to procedural domain by letting the user define the target procedural representation. Additionally, we propose various applications of such procedural representations, including guided completion of point cloud models, controllable 3D city modeling, and other benefits of procedural modeling.