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TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
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TZOFFSETTO:+0900
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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035306Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_319@linklings.com
SUMMARY:Differentiable rendering using RGBXY derivatives and optimal trans
 port
DESCRIPTION:Technical Papers\n\nDifferentiable rendering using RGBXY deriv
 atives and optimal transport\n\nXing, Luan, Yan, Hu, Qian...\n\nWe present
  a novel differentiable rendering framework that is reformulated from the 
 Lagrangian view. Inspired by fluid simulation, traditional differentiable 
 rendering approach can be viewed as the Eulerian method due to the fact th
 at image derivatives are computed locally on a fixed grid of screen-space 
 pixels. In contrast, our method tackles this problem from the Lagrangian v
 iewpoint, where pixels are considered as fluid particles that are movable 
 across the image plane locations, capturing global and long-range object m
 otions efficiently. We guide the underlying geometry point at each pixel t
 hrough robust correspondence finding and track how they change with respec
 t to the optimizable scene parameters. As the efficacy of our technique hi
 nges with the quality of the searched correspondence, we present a study o
 f different distance calculation metrics including bipartite graph matchin
 g, flow estimation and optimal transport. Further, we evaluate the effecti
 veness of our proposed framework on various inverse rendering applications
  and demonstrate superior convergence behavior compared to state-of-the-ar
 t baselines.\n\nRegistration Category: FULL ACCESS, EXPERIENCE PLUS ACCESS
 , EXPERIENCE ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PE
 RSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_319&sess=sess15
 3
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