Work

From Words to Wood: Text‐to‐Procedurally Generated Wood Materials

Year: 2025

Type: article

Abstract: In the domain of wood modeling, we present a new complex appearance model, coupled with a user‐friendly NLP‐based frontend for intuitive interactivity. First , we present a procedurally generated wood model that is capable of accurately simulating intricate wood characteristics, including growth rings, vessels/pores, rays, knots, and figure. Furthermore, newly developed features were introduced, including brushiness distortion, influence points, and individual feature control. These novel enhancements facilitate a more precise matching between procedurally generated wood and ground truth images. Second , we present a text‐based user interface that relies on a trained natural language processing model that is designed to map user plain English requests into the parameter space of our procedurally generated wood model. This significantly reduces the complexity of the authoring process, thereby enabling any user, regardless of their level of woodworking expertise or familiarity with procedurally generated materials, to utilize it to its fullest potential.

Source: Computer Graphics Forum

DOI: 10.1111/cgf.70066

Authors: Mohcen Hafidi, Alexander Wilkie

Institution: Charles University

Language: English

Topic: Computer Graphics and Visualization Techniques

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,710

Funder: HORIZON EUROPE Marie Sklodowska-Curie Actions