Presentation / Installation


Generating Procedural Materials From Text or Image Prompts
SessionA Material World
DescriptionNode 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).
Authors
Yiwei Hu
Yale University
Adobe Research
Paul Guerrero
Adobe Research
Milos Hasan
Adobe Research
Holly Rushmeier
Yale University
Valentin Deschaintre
Adobe Research
Event Type
Technical Paper
TimeMonday, 7 August 202311:28am - 11:38am PDT
LocationPetree Hall D
ACM Digital Library Technical Paper PDF
Session Time & Location
Sunday, 6 August 20236pm - 8:30pm PDTWest Hall B
Monday, 7 August 202310:45am - 12:15pm PDTPetree Hall D
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Rendering
Registration Categories
FC
FCS
V
VS
EFC
Next PresentationNext Presentation
A Realistic Surface-based Cloth Rendering Model