ShaderTransformer: Predicting Shader Quality via One-shot Embedding for Fast Simplification
Event Type
Technical Paper
Interest Areas
Research & Education
Presentation Types
In Person
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Full Conference
Exhibitor Additional Full Conference
Exhibitor Full Conference
This session WILL NOT be recorded.
TimeWednesday, 10 August 20223pm - 3:05pm PDT
LocationEast Building, Ballroom A/B
DescriptionThis paper introduces a multimodal self-attention network, ShaderTransformer, to predict shader variants’ quality for fast shader simplification. Once trained, the network allows one-shot embedding of all variants of the target shader for a specific scene configuration. The positions of the embedded variants represent the simplification errors, which enable fast searching.