Gurprit Singh

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Victor OstromoukhovUniversité Claude Bernard Lyon 1, FranceVerified email at liris.cnrs.fr
David CoeurjollyCNRS, LIRIS UMR 5205, Université de LyonVerified email at liris.cnrs.fr
Wojciech JaroszAssociate Professor, Dartmouth CollegeVerified email at dartmouth.edu
Hans-Peter SeidelProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
Karol MyszkowskiSenior Researcher, MPI InformatikVerified email at mpi-inf.mpg.de
Kartic SubrUniversity of EdinburghVerified email at ed.ac.uk
Tobias RitschelProfessor, University College LondonVerified email at ucl.ac.uk
Michael KazhdanProfessor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Mathieu DesbrunInria & Ecole PolytechniqueVerified email at caltech.edu
Fernando de GoesPixar Animation StudiosVerified email at pixar.com
Matthias ZwickerProfessor of Computer Science, University of Maryland, College ParkVerified email at cs.umd.edu
Cengiz ÖztireliUniversity of Cambridge and Google Inc.Verified email at cam.ac.uk
Abdalla G. M. AhmedKAUSTVerified email at acm.org
Ravi RamamoorthiProfessor of Computer Science, University of California, San DiegoVerified email at cs.ucsd.edu
Oliver DeussenProfessor of Computer Science, University of Konstanz Verified email at uni-konstanz.de
Piotr DidykUniversità della Svizzera italianaVerified email at usi.ch
Marek WernikowskiWest Pomeranian University of Technology, Szczecin, PolandVerified email at wi.zut.edu.pl
Radoslaw MantiukWest Pomeranian University of Technology, Szczecin, PolandVerified email at zut.edu.pl
Michał ChwesiukLecturerVerified email at wi.zut.edu.pl
Mojtaba BemanaPostdoctoral researcher, Max Planck Institute for InformaticsVerified email at mpi-inf.mpg.de

Gurprit Singh

Max Planck Institute for Informatics

Verified email at mpi-inf.mpg.de - Homepage

Photo-realistic Rendering Monte Carlo and Quasi-Monte Carlo Sampling Methods


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Variance analysis for Monte Carlo integration A Pilleboue, G Singh, D Coeurjolly, M Kazhdan, V Ostromoukhov ACM Transactions on Graphics (TOG) 34 (4), 1-14, 2015	60	2015
Fast tile-based adaptive sampling with user-specified Fourier spectra F Wachtel, A Pilleboue, D Coeurjolly, K Breeden, G Singh, G Cathelin, ... ACM Transactions on Graphics (TOG) 33 (4), 1-11, 2014	58	2014
Ladybird: Quasi-monte carlo sampling for deep implicit field based 3d reconstruction with symmetry Y Xu, T Fan, Y Yuan, G Singh European Conference on Computer Vision, 248-263, 2020	30	2020
Real-time Monte Carlo Denoising with the Neural Bilateral Grid. X Meng, Q Zheng, A Varshney, G Singh, M Zwicker EGSR (DL), 13-24, 2020	23	2020
Analysis of sample correlations for Monte Carlo rendering G Singh, C Öztireli, AGM Ahmed, D Coeurjolly, K Subr, O Deussen, ... Computer Graphics Forum 38 (2), 473-491, 2019	17	2019
Neural relightable participating media rendering Q Zheng, G Singh, HP Seidel Advances in Neural Information Processing Systems 34, 15203-15215, 2021	12	2021
Deep point correlation design T Leimkühler, G Singh, K Myszkowski, HP Seidel, T Ritschel ACM Transactions on Graphics (TOG) 38 (6), 1-17, 2019	12	2019
Convergence analysis for anisotropic Monte Carlo sampling spectra G Singh, W Jarosz ACM Transactions on Graphics (TOG) 36 (4), 1-14, 2017	12	2017
A perception-driven hybrid decomposition for multi-layer accommodative displays H Yu, M Bemana, M Wernikowski, M Chwesiuk, OT Tursun, G Singh, ... IEEE transactions on visualization and computer graphics 25 (5), 1940-1950, 2019	10	2019
Fourier analysis of numerical integration in Monte Carlo rendering: theory and practice: understanding estimation error in Monte Carlo image synthesis K Subr, G Singh, W Jarosz ACM SIGGRAPH 2016 Courses, 1-40, 2016	10	2016
Fourier analysis of correlated Monte Carlo importance sampling G Singh, K Subr, D Coeurjolly, V Ostromoukhov, W Jarosz Computer Graphics Forum 39 (1), 7-19, 2020	9	2020
Neural light field 3d printing Q Zheng, V Babaei, G Wetzstein, HP Seidel, M Zwicker, G Singh ACM Transactions on Graphics (TOG) 39 (6), 1-12, 2020	8	2020
Perceptual error optimization for Monte Carlo rendering V Chizhov, I Georgiev, K Myszkowski, G Singh ACM Transactions on Graphics (TOG) 41 (3), 1-17, 2022	6	2022
Variance and convergence analysis of Monte Carlo line and segment sampling G Singh, B Miller, W Jarosz Computer Graphics Forum 36 (4), 79-89, 2017	5	2017
Sampling and Variance Analysis for Monte Carlo Integration in Spherical Domain, Ph. D. Thesis G Singh Université Claude Bernard Lyon 1, 2015	5	2015
Blue noise plots C van Onzenoodt, G Singh, T Ropinski, T Ritschel Computer Graphics Forum 40 (2), 425-433, 2021	4	2021
Scalable multi-class sampling via filtered sliced optimal transport C Salaün, I Georgiev, HP Seidel, G Singh arXiv preprint arXiv:2211.04314, 2022	3	2022
Regression-based Monte Carlo integration C Salaün, A Gruson, BS Hua, T Hachisuka, G Singh ACM Transactions on Graphics (TOG) 41 (4), 1-14, 2022	3	2022
Sampling and variance analysis for Monte Carlo integration in spherical domain G Singh Université Claude Bernard-Lyon I, 2015	3	2015
Variance analysis for Monte Carlo integration: A representation-theoretic perspective M Kazhdan, G Singh, A Pilleboue, D Coeurjolly, V Ostromoukhov arXiv preprint arXiv:1506.00021, 2015	3	2015

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