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DTSTAMP:20260114T163701Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T171800
DTEND;TZID=Australia/Melbourne:20231212T173300
UID:siggraphasia_SIGGRAPH Asia 2023_sess122_papers_438@linklings.com
SUMMARY:Locally-Adaptive Level-of-Detail for Hardware-Accelerated Ray Trac
 ing
DESCRIPTION:Jacob Haydel (University of Utah); Cem Yuksel (University of U
 tah, Roblox); and Larry Seiler (Independent)\n\nWe introduce an adaptive l
 evel-of-detail technique for ray tracing triangle meshes that aims to redu
 ce the memory bandwidth used during ray traversal, which can be the bottle
 neck for rendering time with large scenes and the primary consumer of ener
 gy. We propose a specific data structure for hierarchically representing t
 riangle meshes, allowing localized decisions for the desired mesh resoluti
 on per ray. Starting with the lowest-resolution triangle mesh level, highe
 r-resolution levels are generated by tessellating each triangle into four 
 via splitting its edges with arbitrarily-placed vertices. We fit the resul
 ting mesh hierarchy into a specialized acceleration structure to perform o
 n-the-fly tessellation level selection during ray traversal. Our structure
  reduces both storage cost and data movement during rendering, which are t
 he main consumers of energy. It also allows continuous transitions between
  detail levels, while locally adjusting the mesh resolution per ray and pr
 eserving watertightness. We present how this structure can be used with bo
 th primary and secondary rays for reflections and shadows, which can inter
 sect with different tessellation levels, providing consistent results. We 
 also propose specific hardware units to cover the cost of additional compu
 te needed for level-of-detail operations. We evaluate our method using a c
 ycle-accurate simulation of a custom ray tracing hardware architecture. Ou
 r results show that, as compared to traditional bounding volume hierarchie
 s, our method can provide more than an order of magnitude reduction in ene
 rgy use and render time, given sufficient computational resources.\n\nRegi
 stration Category: Full Access\n\nSession Chair: Bin Chen (University of M
 elbourne)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_438&sess=sess122
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