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ShaderTransformer: Predicting Shader Quality via One-shot Embedding for Fast Simplification
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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.