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DTSTAMP:20260114T163632Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_268@linklings.com
SUMMARY:Warped-Area Reparameterization of Differential Path Integrals
DESCRIPTION:Peiyu Xu (University of California Irvine), Sai Bangaru (MIT C
 SAIL), Tzu-Mao Li (University of California San Diego), and Shuang Zhao (U
 niversity of California Irvine)\n\nPhysics-based differentiable rendering 
 is becoming increasingly crucial for tasks in inverse rendering and machin
 e learning pipelines. To address discontinuities caused by geometric bound
 aries and occlusion, two classes of methods have been proposed: 1) the edg
 e sampling methods that directly sample light paths at the scene discontin
 uity boundaries, which require nontrivial data structures and precomputati
 on to select the edges, and 2) the reparameterization methods that avoid d
 iscontinuity sampling but are currently limited to hemispherical integrals
  and unidirectional path tracing.\n\nWe introduce a new mathematical formu
 lation that enjoys the benefits of both classes of methods. Unlike previou
 s reparameterization work that focused on hemispherical integral, we deriv
 e the reparameterization in the path space. As a result, to estimate deriv
 atives using our formulation, we can apply advanced Monte Carlo rendering 
 methods, such as bidirectional path tracing, while avoiding explicit sampl
 ing of discontinuity boundaries. We show differentiable rendering and inve
 rse rendering results to demonstrate the effectiveness of our method.\n\nR
 egistration Category: Full Access, Enhanced Access, Trade Exhibitor, Exper
 ience Hall Exhibitor\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_268&sess=sess209
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