Gurprit Singh
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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
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
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
Convergence analysis for anisotropic Monte Carlo sampling spectra
G Singh, W Jarosz
ACM Transactions on Graphics (TOG) 36 (4), 1-14, 2017
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
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
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
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
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
Deep point correlation design
T Leimkühler, G Singh, K Myszkowski, HP Seidel, T Ritschel
ACM Transactions on Graphics (TOG) 38 (6), 1-17, 2019
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
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
Sampling and variance analysis for Monte Carlo integration in spherical domain
G Singh
Université Claude Bernard-Lyon I, 2015
Spectral measures of distortion for change detection in dynamic graphs
LC Aleardi, S Salihoglu, G Singh, M Ovsjanikov
International Conference on Complex Networks and their Applications, 54-66, 2018
Sampling analysis using correlations for Monte Carlo rendering
AC Öztireli, G Singh
SIGGRAPH Asia 2018 Courses, 1-48, 2018
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
Perceptual error optimization for Monte Carlo rendering
V Chizhov, I Georgiev, K Myszkowski, G Singh
arXiv preprint arXiv:2012.02344, 2020
End-to-end sampling patterns
T Leimkühler, G Singh, K Myszkowski, HP Seidel, T Ritschel
arXiv preprint arXiv:1806.06710, 2018
Neural Relightable Participating Media Rendering
Q Zheng, G Singh, HP Seidel
Advances in Neural Information Processing Systems 34, 2021
Blue Noise Plots
C van Onzenoodt, G Singh, T Ropinski, T Ritschel
Computer Graphics Forum 40 (2), 425-433, 2021
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Articles 1–20