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DTSTAMP:20260114T163655Z
LOCATION:Meeting Room C4.9+C4.10\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231213T155500
DTEND;TZID=Australia/Melbourne:20231213T161000
UID:siggraphasia_SIGGRAPH Asia 2023_sess168_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\n\nSession Chair: Soo-Mi Choi (Sejong Un
 iversity)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_268&sess=sess168
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