Neural foveated super‐resolution for real‐time VR rendering
Jiannan Ye,
Xiaoxu Meng,
Daiyun Guo
et al.
Abstract:As virtual reality display technologies advance, resolutions and refresh rates continue to approach human perceptual limits, presenting a challenge for real‐time rendering algorithms. Neural super‐resolution is promising in reducing the computation cost and boosting the visual experience by scaling up low‐resolution renderings. However, the added workload of running neural networks cannot be neglected. In this article, we try to alleviate the burden by exploiting the foveated nature of the human visual system,… Show more
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