Title
Expanding Capabilities of View-Dependent Lighting Effects in XR (Research)
Abstract
EXtended Reality(XR) has become a popular topic over the last years as major tech companies are
investing heavily in improvements to both XR software and hardware. The realistic content for these
devices is currently limited as both creation and rendering can prove to be difficult. The past two
years, significant progress has been made concerning the topic of lighting effects as the seminal
Neural Radiance Fields (NeRF) and Plenoxels papers have shown great results in this domain. Both
papers however, have difficulties presenting high frequency details which can lead to unwanted
results. Especially for users, it is important to show highly detailed content as small changes from
reality can result in nausea and a general unpleasant experience. My proposal will focus on achieving
this level of detail in an efficient manner so it can be used for XR applications. During this research
the focus lies firstly on improving the amount of detail for view-dependent lighting effects and
secondly on improving detail overall. Using both of these approaches I can continue my research by
making it possible to interact with objects in a scene while maintaining realistic lighting effects on
moving objects. As efficiency is critical in these applications, I will research sufficiently efficient
approaches which comply with the restrictions XR puts on these applications such as a high enough
framerate.
Period of project
01 November 2023 - 31 October 2027