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公开(公告)号:US20230334612A1
公开(公告)日:2023-10-19
申请号:US17720660
申请日:2022-04-14
发明人: Marios PAPAS , Gerhard RÖTHLIN , Henrik D. DAHLBERG , Farnood SALEHI , David M. ADLER , Mark A. MEYER , Andre C. MAZZONE , Christopher R. SCHROERS , Marco MANZI , Thijs VOGELS , Per H. CHRISTENSEN
CPC分类号: G06T1/20 , G06T5/002 , G06N3/08 , G06T2207/20084 , G06T2207/20081
摘要: Certain aspects of the present disclosure provide techniques for adaptive sampling for rendering using deep learning. This includes receiving, at a sampler in a rendering pipeline, a plurality of rendered pixel data, wherein the sampler includes a first machine learning (ML) model. It further includes generating a sampling map for the rendering pipeline using the first ML model and the plurality of rendered pixel data, including predicting a plurality of pixel values in the sampling map based on a generated distribution of pixel values. It further includes rendering an image using the sampler, the sampling map, and a denoiser in the rendering pipeline.