Foveated Photon Mapping

Shi, Xuehuai; Wang, Lili; Wei, Xiaoheng; Yan, Ling‐Qi

doi:10.1109/tvcg.2021.3106488

Cited by 8 publications

(2 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Methods proposed in Refs. [36,145,152] are interesting attempts. Based on the concept of multi-luminance resolution, they adopt instant radiosity and photon mapping to foveated rendering.…”

Section: Discussionmentioning

confidence: 99%

“…Yang et al [145] improved the method proposed by Wang et al [36] and created a CMF-based perceptual probability map to manage virtual point lights more accurately to further improve rendering quality in the fovea. Because the method of Wang et al [36] and Yang et al [145] only supports diffuse scenes, Shi et al [152] adopted the photon mapping method to foveated rendering, which renders high-quality global illumination effects in the foveal region at interactive frame rates for the scenes that include diffuse, specular, glossy, and transparent materials.…”

Section: Multi-luminance Resolutionmentioning

confidence: 99%

See 1 more Smart Citation

Foveated rendering: A state-of-the-art survey

2023

Self Cite

View full text Add to dashboard Cite

Recently, virtual reality (VR) technology has been widely used in medical, military, manufacturing, entertainment, and other fields. These applications must simulate different complex material surfaces, various dynamic objects, and complex physical phenomena, increasing the complexity of VR scenes. Current computing devices cannot efficiently render these complex scenes in real time, and delayed rendering makes the content observed by the user inconsistent with the user’s interaction, causing discomfort. Foveated rendering is a promising technique that can accelerate rendering. It takes advantage of human eyes’ inherent features and renders different regions with different qualities without sacrificing perceived visual quality. Foveated rendering research has a history of 31 years and is mainly focused on solving the following three problems. The first is to apply perceptual models of the human visual system into foveated rendering. The second is to render the image with different qualities according to foveation principles. The third is to integrate foveated rendering into existing rendering paradigms to improve rendering performance. In this survey, we review foveated rendering research from 1990 to 2021. We first revisit the visual perceptual models related to foveated rendering. Subsequently, we propose a new foveated rendering taxonomy and then classify and review the research on this basis. Finally, we discuss potential opportunities and open questions in the foveated rendering field. We anticipate that this survey will provide new researchers with a high-level overview of the state-of-the-art in this field, furnish experts with up-to-date information, and offer ideas alongside a framework to VR display software and hardware designers and engineers.

show abstract

“…Methods proposed in Refs. [36,145,152] are interesting attempts. Based on the concept of multi-luminance resolution, they adopt instant radiosity and photon mapping to foveated rendering.…”

Section: Discussionmentioning

confidence: 99%

Section: Multi-luminance Resolutionmentioning

confidence: 99%

Foveated rendering: A state-of-the-art survey

2023

Self Cite

View full text Add to dashboard Cite

show abstract

Light culling based on the limitations of human visual perception

Chen,

Chen

2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

We propose a method to remove virtual point light sources (VPLs) in the scene to reduce the time overhead of lighting calculation for shading points in non-visually sensitive areas. We quantify the degree of light stimulation to the human eye and use it to calculate the lighting contribution of VPLs in the scene to visually sensitive areas. Based on this contribution, we remove VPLs that contribute less to visually sensitive areas to improve rendering speed. Experimental results show that the FLIP evaluation index difference between this method and FLC [1] is only 0.00077, while the average number of frames is 1.15 times that of the method in FLC. This proves that this paper can effectively improve rendering speed.

show abstract