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Detecting Aliasing Artifacts in Image Sequences Using Deep Neural Networks
(ACM, 2018)
In this short paper we present a machine learning approach to detect visual artifacts in rendered image sequences. Specifically, we train a deep neural network using example aliased and antialiased image sequences exported ...
Correlation-Aware Semi-Analytic Visibility for Antialiased Rendering
(ACM, 2018)
Geometric aliasing is a persistent challenge for real-time rendering. Hardware multisampling remains limited to 8×, analytic coverage fails to capture correlated visibility samples, and spatial and temporal postfiltering ...