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SUMMARY:Markov Chains for Light Transport
DTSTART:20180829T100000
DTEND:20180829T120000
DTSTAMP:20260407T183955Z
UID:2caac58537a2fc017daea98d18dce5b322e58e1ff4d1e44c23cae34b
CATEGORIES:Conferences - Seminars
DESCRIPTION:Merlin Nimier-David\nEDIC candidacy exam\nExam president: Prof
 . Mark Pauly\nThesis advisor: Prof. Wenzel Jakob\nCo-examiner: Prof. Sabin
 e Süsstrunk\n\nAbstract\nPhysically Based Rendering presents important co
 mputational and algorithmic challenges. Accurate simulation of light trans
 port involves not only appearance models that capture real-world behavior\
 , but also requires powerful numerical integration techniques. However\, t
 he most popular algorithm\, Path Tracing\, struggles with many lighting sc
 enarios and generates incoherent workloads\, which make poor use of modern
  hardware capabilities such as vectorization.\n\nWe summarize and compare 
 three previous works\, first recalling the background most relevant to the
 se techniques. We then cover the three selected publications: "Riemannian 
 Manifold Hamiltonian Monte Carlo" [Girolami et al. 2009]\, "A Simple and R
 obust Mutation Strategy for the Metropolis Light Transport Algorithm" [Kel
 emen et al. 2002]\, and "Anisotropic Gaussian Mutations for Metropolis Lig
 ht Transport Through Hessian-hamiltonian Dynamics" [Li et al. 2015].\n\nWe
  conclude by outlining our ongoing research. Related to the three methods 
 presented\, it makes use of Markov Chain Monte Carlo integration and defin
 es an advanced mutation strategy\, which is designed to generate coherent 
 workloads. Finally\, we address future work and general research direction
 s.\n\nBackground papers\nA simple and robust mutation strategy for the met
 ropolis light transport algorithm\, by Kelemen\, Csaba\, et al. Computer G
 raphics Forum. Vol. 21. No. 3. Blackwell Publishing\, Inc\, 2002.  \nAni
 sotropic gaussian mutations for metropolis light transport through hessian
 -hamiltonian dynamics\, by Li\, Tzu-Mao\, et al. ACM Transactions on Graph
 ics (TOG) 34.6 (2015): 209.\nRiemannian Manifold Hamiltonian Monte Carlo\,
  by  Girolami\, Mark\, Ben Calderhead\, and Siu A. Chin. arXiv preprint a
 rXiv:0907.1100 (2009). [excluding sections 6 and 7] .
LOCATION:BC 329 https://plan.epfl.ch/?room==BC%20329
STATUS:CONFIRMED
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