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Ray Tracing Techniques [Q&A Session]
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Full Access
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Virtual Full Access
Date/Time: 06 – 17 December 2021
All presentations are available in the virtual platform on-demand.
Real Time Cluster Path Tracing
Contributor(s):
feng xie, Facebook Reality Labs, United States of America
Petro Mishchuk, Apex Systems, United States of America
Warren Hunt, Facebook Reality Labs, United States of America
Description: We present the first production quality cluster path tracing renderer capable of generating images with global illumination effects at 15-30 frames per second for dynamic digital humans and objects.
Sparse Volume Rendering using Hardware Ray Tracing and Block Walking
Contributor(s):
Mehmet Oguz Derin, Morgenrot, Inc., Turkey
Takahiro Harada, Advanced Micro Devices, Inc. (AMD); Morgenrot, Inc., United States of America
Yusuke Takeda, Hokkaido University, Japan
Yasuhiro Iba, Hokkaido University, Japan
Description: This presents an approach consisting of a novel volume data structure, traversal algorithm, and density-encoding accelerating data visualization using ray-tracing hardware, improving average runtime under user-input defined access of volume.
Vectorized Reservoir Sampling
Contributor(s):
Shinji Ogaki, ZOZO, Inc., Japan
Description: We propose the vectorized version of Chao's weighted reservoir sampling algorithm and provide a couple of practical applications.
Viewport-Resolution-Independent Anti-Aliased Ray Marching on Interior Faces in Cube-Map Space
Contributor(s):
Tianchen Xu, State Key Lab of CS, Institute of Software, Chinese Academy of Sciences & Univ. of CAS; Advanced Micro Devices, Inc. (AMD), China
Wei Zeng, School of Computer Science, Sichuan University, China
Enhua Wu, State Key Lab of CS, Institute of Software, Chinese Academy of Sciences & Univ. of CAS; FST, University of Macau, China
Description: This paper presents a novel approach to anti-aliased ray-marching by indirect shading in cube-map space, which can prevent volume rendering from rapid performance drops in high-resolution-viewport cases without quality tradeoff.
World-space Spatiotemporal Reservoir Reuse for Ray-traced Global Illumination
Contributor(s):
Guillaume Boissé, Advanced Micro Devices, Inc. (AMD), France
Description: We present a novel approach that caches reservoirs into the cells of a hash grid, allowing for efficient reservoir-based importance resampling for light sampling at secondary path vertices and beyond.
