ProcTex: Consistent and Interactive Text-to-texture Synthesis for Part-based Procedural Models
Ruiqi Xu, Zihan Zhu, Ben Ahlbrand, Srinath Sridhar, Daniel Ritchie

TL;DR
ProcTex is a novel system enabling real-time, consistent, and interactive text-guided texture synthesis for families of procedural shapes, integrating texture transfer and neural correspondence learning to enhance procedural modeling workflows.
Contribution
It introduces ProcTex, the first system for part-based procedural models that achieves real-time, consistent texture synthesis with neural correspondence and transfer techniques.
Findings
Produces high-quality, consistent textures across procedural shapes.
Supports interactive design with real-time performance.
Effectively learns dense correspondence for procedural models.
Abstract
Recent advances in generative modeling have driven significant progress in text-guided texture synthesis. However, current methods focus on synthesizing texture for single static 3D object, and struggle to handle entire families of shapes, such as those produced by procedural programs. Applying existing methods naively to each procedural shape is too slow to support exploring different parameter configurations at interactive rates, and also results in inconsistent textures across the procedural shapes. To this end, we introduce ProcTex, the first text-to-texture system designed for part-based procedural models. ProcTex enables consistent and real-time text-guided texture synthesis for families of shapes, which integrates seamlessly with the interactive design flow of procedural modeling. To ensure consistency, our core approach is to synthesize texture for a template shape from the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNatural Language Processing Techniques
