Light Path Guided Culling for Hybrid Real-Time Path Tracing

Author:

Kelling Jan1ORCID,Ströter Daniel2ORCID,Kuijper Arjan3ORCID

Affiliation:

1. Ubisoft, Mainz, Germany

2. Technical University of Darmstadt, Darmstadt, Germany

3. Technical University of Darmstadt, Darmstadt, Germany and Fraunhofer IGD, Darmstadt, Germany

Abstract

Rendering visually convincing images requires realistic lighting. Path tracing has long been used in offline rendering to produce photorealistic images. While recent hardware advancements allow ray tracing methods to be employed in real-time renderers, they come with a significant performance and memory impact. Real-time path tracing remains a challenge. We present light path guided culling (LiPaC), a novel culling algorithm for ray tracing that achieves almost optimal culling results by considering the number of light paths encountered by objects. In addition, we describe a hybrid path tracing pipeline using LiPaC to render large and highly dynamic scenes in real-time on the current generation of consumer hardware.

Publisher

Association for Computing Machinery (ACM)

Reference30 articles.

1. James Arvo et al. 1986. Backward ray tracing. In Developments in Ray Tracing, Computer Graphics, Proc. of ACM SIGGRAPH 86 Course Notes. 259--263.

2. Louis Bavoil Edward Liu Peter Shirley and Morgan McGuire. 2018. Hybrid Ray-Traced Ambient Occlusion. 4 pages. https://casual-effects.com/research/Bavoil2018AO/index.html Poster at HPG18 ACM SIGGRAPH / Eurographics High Performance Graphics.

3. A. Beacco N. Pelechano and C. Andújar. 2016. A Survey of Real-Time Crowd Rendering. Computer Graphics Forum (2016). https://doi.org/10.1111/cgf.12774

4. Real‐Time Ray Tracing of Micro‐Poly Geometry with Hierarchical Level of Detail

5. Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting;Bitterli Benedikt;ACM Transactions on Graphics (Proceedings of SIGGRAPH),2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3