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ORCIDGurprit Singh
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2020 – today
- 2024
[c8]Xingchang Huang
, Corentin Salaün, Cristina Nader Vasconcelos, Christian Theobalt, A. Cengiz Öztireli, Gurprit Singh:
Blue noise for diffusion models. SIGGRAPH (Conference Paper Track) 2024: 28- [i16]Xingchang Huang, Corentin Salaün, Cristina Nader Vasconcelos, Christian Theobalt, Cengiz Öztireli, Gurprit Singh:
Blue noise for diffusion models. CoRR abs/2402.04930 (2024) - [i15]Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh:
Multiple importance sampling for stochastic gradient estimation. CoRR abs/2407.15525 (2024) - [i14]Shishir Reddy Vutukur, Mengkejiergeli Ba, Benjamin Busam, Matthias Kayser, Gurprit Singh:
SABER-6D: Shape Representation Based Implicit Object Pose Estimation. CoRR abs/2408.05867 (2024) - [i13]Sascha Holl, Hans-Peter Seidel, Gurprit Singh:
Jump Restore Light Transport. CoRR abs/2409.07148 (2024) - 2023
- [j15]Xingchang Huang, Tobias Ritschel, Hans-Peter Seidel, Pooran Memari, Gurprit Singh:
Patternshop: Editing Point Patterns by Image Manipulation. ACM Trans. Graph. 42(4): 53:1-53:14 (2023) - [c7]Martin Bálint, Karol Myszkowski, Hans-Peter Seidel, Gurprit Singh:
Joint Sampling and Optimisation for Inverse Rendering. SIGGRAPH Asia 2023: 29:1-29:10 - [c6]Misa Korac, Corentin Salaün, Iliyan Georgiev, Pascal Grittmann, Philipp Slusallek, Karol Myszkowski, Gurprit Singh:
Perceptual error optimization for Monte Carlo animation rendering. SIGGRAPH Asia 2023: 89:1-89:10 - [e1]Gurprit Singh, Mengyu Chu:
44th Annual Conference of the European Association for Computer Graphics, Eurographics 2023 - Posters, Saarbrücken, Germany, May 8-12, 2023. Eurographics Association 2023 [contents] - [i12]Xingchang Huang, Tobias Ritschel, Hans-Peter Seidel, Pooran Memari, Gurprit Singh:
Patternshop: Editing Point Patterns by Image Manipulation. CoRR abs/2308.10517 (2023) - [i11]Martin Bálint, Karol Myszkowski, Hans-Peter Seidel, Gurprit Singh:
Joint Sampling and Optimisation for Inverse Rendering. CoRR abs/2309.15676 (2023) - [i10]Misa Korac, Corentin Salaün, Iliyan Georgiev, Pascal Grittmann, Philipp Slusallek, Karol Myszkowski, Gurprit Singh:
Perceptual error optimization for Monte Carlo animation rendering. CoRR abs/2310.02955 (2023) - [i9]Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh:
Efficient Gradient Estimation via Adaptive Sampling and Importance Sampling. CoRR abs/2311.14468 (2023) - 2022
- [j14]Xingchang Huang, Pooran Memari, Hans-Peter Seidel, Gurprit Singh:
Point-Pattern Synthesis using Gabor and Random Filters. Comput. Graph. Forum 41(4): 169-179 (2022) - [j13]Vassillen Chizhov, Iliyan Georgiev, Karol Myszkowski, Gurprit Singh:
Perceptual Error Optimization for Monte Carlo Rendering. ACM Trans. Graph. 41(3): 26:1-26:17 (2022) - [j12]Corentin Salaün, Adrien Gruson, Binh-Son Hua, Toshiya Hachisuka, Gurprit Singh:
Regression-based Monte Carlo integration. ACM Trans. Graph. 41(4): 79:1-79:14 (2022) - [j11]Corentin Salaün, Iliyan Georgiev, Hans-Peter Seidel, Gurprit Singh:
Scalable Multi-Class Sampling via Filtered Sliced Optimal Transport. ACM Trans. Graph. 41(6): 261:1-261:14 (2022) - [i8]Corentin Salaün, Iliyan Georgiev, Hans-Peter Seidel, Gurprit Singh:
Scalable multi-class sampling via filtered sliced optimal transport. CoRR abs/2211.04314 (2022) - [i7]Corentin Salaün, Adrien Gruson, Binh-Son Hua, Toshiya Hachisuka, Gurprit Singh:
Regression-based Monte Carlo Integration. CoRR abs/2211.07422 (2022) - 2021
- [j10]Christian van Onzenoodt, Gurprit Singh, Timo Ropinski, Tobias Ritschel:
Blue Noise Plots. Comput. Graph. Forum 40(2): 425-433 (2021) - [c5]Quan Zheng, Gurprit Singh, Hans-Peter Seidel:
Neural Relightable Participating Media Rendering. NeurIPS 2021: 15203-15215 - [i6]Christian van Onzenoodt, Gurprit Singh, Timo Ropinski, Tobias Ritschel:
Blue Noise Plots. CoRR abs/2102.04072 (2021) - [i5]Quan Zheng, Gurprit Singh, Hans-Peter Seidel:
Neural Relightable Participating Media Rendering. CoRR abs/2110.12993 (2021) - 2020
- [j9]Gurprit Singh, Kartic Subr, David Coeurjolly, Victor Ostromoukhov, Wojciech Jarosz:
Fourier Analysis of Correlated Monte Carlo Importance Sampling. Comput. Graph. Forum 39(1): 7-19 (2020) - [j8]Quan Zheng, Vahid Babaei, Gordon Wetzstein, Hans-Peter Seidel, Matthias Zwicker, Gurprit Singh:
Neural light field 3D printing. ACM Trans. Graph. 39(6): 207:1-207:12 (2020) - [c4]Yifan Xu, Tianqi Fan, Yi Yuan, Gurprit Singh:
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry. ECCV (1) 2020: 248-263 - [c3]Xiaoxu Meng, Quan Zheng, Amitabh Varshney, Gurprit Singh, Matthias Zwicker:
Real-time Monte Carlo Denoising with the Neural Bilateral Grid. EGSR (DL) 2020: 13-24 - [i4]Yifan Xu, Tianqi Fan, Yi Yuan, Gurprit Singh:
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry. CoRR abs/2007.13393 (2020) - [i3]Vassillen Chizhov, Iliyan Georgiev, Karol Myszkowski, Gurprit Singh:
Perceptual error optimization for Monte Carlo rendering. CoRR abs/2012.02344 (2020)
2010 – 2019
- 2019
- [j7]Gurprit Singh, Cengiz Öztireli, Abdalla G. M. Ahmed, David Coeurjolly, Kartic Subr, Oliver Deussen, Victor Ostromoukhov, Ravi Ramamoorthi, Wojciech Jarosz:
Analysis of Sample Correlations for Monte Carlo Rendering. Comput. Graph. Forum 38(2): 473-491 (2019) - [j6]Thomas Leimkühler, Gurprit Singh, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel:
Deep point correlation design. ACM Trans. Graph. 38(6): 226:1-226:17 (2019) - [j5]Hyeonseung Yu, Mojtaba Bemana, Marek Wernikowski, Michal Chwesiuk, Okan Tarhan Tursun, Gurprit Singh, Karol Myszkowski, Radoslaw Mantiuk, Hans-Peter Seidel, Piotr Didyk:
A Perception-driven Hybrid Decomposition for Multi-layer Accommodative Displays. IEEE Trans. Vis. Comput. Graph. 25(5): 1940-1950 (2019) - 2018
- [c2]Luca Castelli Aleardi, Semih Salihoglu, Gurprit Singh, Maks Ovsjanikov:
Spectral Measures of Distortion for Change Detection in Dynamic Graphs. COMPLEX NETWORKS (2) 2018: 54-66 - [i2]Thomas Leimkühler, Gurprit Singh, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel:
End-to-end Sampling Patterns. CoRR abs/1806.06710 (2018) - 2017
- [j4]Gurprit Singh, Bailey Miller, Wojciech Jarosz:
Variance and Convergence Analysis of Monte Carlo Line and Segment Sampling. Comput. Graph. Forum 36(4): 79-89 (2017) - [j3]Gurprit Singh, Wojciech Jarosz:
Convergence analysis for anisotropic monte carlo sampling spectra. ACM Trans. Graph. 36(4): 137:1-137:14 (2017) - 2016
- [c1]Kartic Subr, Gurprit Singh, Wojciech Jarosz:
Fourier analysis of numerical integration in Monte Carlo rendering: theory and practice: understanding estimation error in Monte Carlo image synthesis. SIGGRAPH Courses 2016: 10:1-10:40 - 2015
- [b1]Gurprit Singh:
Sampling and Variance Analysis for Monte Carlo Integration in Spherical Domain. (Analyse de Variance et Échantillonnage pour l'intégration Monte Carlo sur la sphère). Claude Bernard University Lyon 1, France, 2015 - [j2]Adrien Pilleboue, Gurprit Singh, David Coeurjolly, Michael Kazhdan, Victor Ostromoukhov:
Variance analysis for Monte Carlo integration. ACM Trans. Graph. 34(4): 124:1-124:14 (2015) - [i1]Michael Kazhdan, Gurprit Singh, Adrien Pilleboue, David Coeurjolly, Victor Ostromoukhov:
Variance Analysis for Monte Carlo Integration: A Representation-Theoretic Perspective. CoRR abs/1506.00021 (2015) - 2014
- [j1]Florent Wachtel, Adrien Pilleboue, David Coeurjolly, Katherine Breeden, Gurprit Singh, Gaël Cathelin, Fernando de Goes, Mathieu Desbrun, Victor Ostromoukhov:
Fast tile-based adaptive sampling with user-specified Fourier spectra. ACM Trans. Graph. 33(4): 56:1-56:11 (2014)
Coauthor Index
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