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Noise-based Enhancement for Foveated Rendering
Novel image synthesis techniques, so-called foveated rendering, exploit this observation and reduce the spatial resolution of synthesized images for the periphery, avoiding the synthesis of high-spatial-frequency details that are costly to generate but not perceived by a viewer.
Learning GAN-based Foveated Reconstruction to Recover Perceptually Important Image Features
Given the nature of GAN-based solutions, we focus on the sensitivity of human vision to hallucination in case of input samples with different densities.
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