“Generating Procedural Materials From Text or Image Prompts” by Hu, Guerrero, Hasan, Rushmeier and Deschaintre
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Title:
- Generating Procedural Materials From Text or Image Prompts
Session/Category Title: A Material World
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Abstract:
Node graph systems are ubiquitous for material design in computer graphics. They allow the use of visual programming to achieve desired effects without writing code. We propose a multi-modal node graph generation neural architecture for high-quality procedural material synthesis which can be conditioned on different inputs (text or image prompts).
