Low power centroid determination and texture footprint optimization for decoupled sampling based rendering pipelines
作者： Aaron Lefohn , Robert M. Toth , Karthik Vaidyanathan , Marco Salvi
DOI:
关键词: Shading 、 Computer vision 、 Centroid 、 Pipeline transport 、 Artificial intelligence 、 Rendering (computer graphics) 、 Engineering 、 Minimum bounding box 、 Texture filtering 、 Graphics pipeline
摘要: The problem of generating high quality images with a rendering pipeline based on decoupled sampling may be addressed by non-extrapolated shading locations and determining improved texture filtering footprints. This accomplished performing at the center bounding box that bounds mapped samples.
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