Gurprit Singh

52 papers A* 3C 2Journal 36Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
Demystifying noise: Role of randomness in generative AI: Demystifying randomness in generative AI.
SIGGRAPH Courses
Gurprit Singh, Xingchang Huang, Jente Vandersanden, Cengiz Öztireli, Niloy J. Mitra
2025 — conf
Demystifying noise: The role of randomness in generative AI.
Eurographics (Tutorials)
Gurprit Singh, Xingchang Huang, Jente Vandersanden, Cengiz Öztireli, Niloy J. Mitra
2025 J jnl
Gaussian Integral Linear Operators for Precomputed Graphics.
ACM Trans. Graph.
Haolin Lu, Yash Belhe, Gurprit Singh, Tzu-Mao Li, Toshiya Hachisuka
2025 — conf
Histogram Stratification for Spatio-Temporal Reservoir Sampling.
SIGGRAPH (Conference Paper Track)
Corentin Salaün, Martin Bálint, Laurent Belcour, Eric Heitz, Gurprit Singh, Karol Myszkowski
2025 J jnl
Jump Restore Light Transport.
ACM Trans. Graph.
Sascha Holl, Gurprit Singh, Hans-Peter Seidel
2025 J jnl
MCMC: Bridging Rendering, Optimization and Generative AI.
CoRR
Gurprit Singh, Wenzel Jakob
2025 C conf
Multiple Importance Sampling for Stochastic Gradient Estimation.
ICPRAM
Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh
2025 C conf
Online Importance Sampling for Stochastic Gradient Optimization.
ICPRAM
Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh
2025 J jnl
Restereo: Diffusion stereo video generation and restoration.
CoRR
Xingchang Huang, Ashish Kumar Singh, Florian Dubost, Cristina Nader Vasconcelos, Sakar Khattar, Liang Shi, Christian Theobalt, A. Cengiz Öztireli, Gurprit Singh
2024 — conf
Blue noise for diffusion models.
SIGGRAPH (Conference Paper Track)
Xingchang Huang, Corentin Salaün, Cristina Nader Vasconcelos, Christian Theobalt, A. Cengiz Öztireli, Gurprit Singh
2024 J jnl
Blue noise for diffusion models.
CoRR
Xingchang Huang, Corentin Salaün, Cristina Nader Vasconcelos, Christian Theobalt, Cengiz Öztireli, Gurprit Singh
2024 J jnl
Edge-preserving noise for diffusion models.
CoRR
Jente Vandersanden, Sascha Holl, Xingchang Huang, Gurprit Singh
2024 J jnl
Jump Restore Light Transport.
CoRR
Sascha Holl, Hans-Peter Seidel, Gurprit Singh
2024 J jnl
Multiple importance sampling for stochastic gradient estimation.
CoRR
Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh
2024 — conf
SABER-6D: Shape Representation Based Implicit Object Pose Estimation.
ECCV Workshops (1)
Shishir Reddy Vutukur, Mengkejiergeli Ba, Benjamin Busam, Matthias Kayser, Gurprit Singh
2024 J jnl
SABER-6D: Shape Representation Based Implicit Object Pose Estimation.
CoRR
Shishir Reddy Vutukur, Mengkejiergeli Ba, Benjamin Busam, Matthias Kayser, Gurprit Singh
2023 — ed.
44th Annual Conference of the European Association for Computer Graphics, Eurographics 2023 - Posters, Saarbrücken, Germany, May 8-12, 2023.
Eurographics (Posters)
Gurprit Singh, Mengyu Chu
2023 J jnl
Efficient Gradient Estimation via Adaptive Sampling and Importance Sampling.
CoRR
Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh
2023 A* conf
Joint Sampling and Optimisation for Inverse Rendering.
SIGGRAPH Asia
Martin Bálint, Karol Myszkowski, Hans-Peter Seidel, Gurprit Singh
2023 J jnl
Joint Sampling and Optimisation for Inverse Rendering.
CoRR
Martin Bálint, Karol Myszkowski, Hans-Peter Seidel, Gurprit Singh
2023 J jnl
Patternshop: Editing Point Patterns by Image Manipulation.
CoRR
Xingchang Huang, Tobias Ritschel, Hans-Peter Seidel, Pooran Memari, Gurprit Singh
2023 J jnl
Patternshop: Editing Point Patterns by Image Manipulation.
ACM Trans. Graph.
Xingchang Huang, Tobias Ritschel, Hans-Peter Seidel, Pooran Memari, Gurprit Singh
2023 A* conf
Perceptual error optimization for Monte Carlo animation rendering.
SIGGRAPH Asia
Misa Korac, Corentin Salaün, Iliyan Georgiev, Pascal Grittmann, Philipp Slusallek, Karol Myszkowski, Gurprit Singh
2023 J jnl
Perceptual error optimization for Monte Carlo animation rendering.
CoRR
Misa Korac, Corentin Salaün, Iliyan Georgiev, Pascal Grittmann, Philipp Slusallek, Karol Myszkowski, Gurprit Singh
2022 J jnl
Perceptual Error Optimization for Monte Carlo Rendering.
ACM Trans. Graph.
Vassillen Chizhov, Iliyan Georgiev, Karol Myszkowski, Gurprit Singh
2022 J jnl
Point-Pattern Synthesis using Gabor and Random Filters.
Comput. Graph. Forum
Xingchang Huang, Pooran Memari, Hans-Peter Seidel, Gurprit Singh
2022 J jnl
Regression-based Monte Carlo Integration.
CoRR
Corentin Salaün, Adrien Gruson, Binh-Son Hua, Toshiya Hachisuka, Gurprit Singh
2022 J jnl
Regression-based Monte Carlo integration.
ACM Trans. Graph.
Corentin Salaün, Adrien Gruson, Binh-Son Hua, Toshiya Hachisuka, Gurprit Singh
2022 J jnl
Scalable Multi-Class Sampling via Filtered Sliced Optimal Transport.
ACM Trans. Graph.
Corentin Salaün, Iliyan Georgiev, Hans-Peter Seidel, Gurprit Singh
2022 J jnl
Scalable multi-class sampling via filtered sliced optimal transport.
CoRR
Corentin Salaün, Iliyan Georgiev, Hans-Peter Seidel, Gurprit Singh
2021 J jnl
Blue Noise Plots.
Comput. Graph. Forum
Christian van Onzenoodt, Gurprit Singh, Timo Ropinski, Tobias Ritschel
2021 J jnl
Blue Noise Plots.
CoRR
Christian van Onzenoodt, Gurprit Singh, Timo Ropinski, Tobias Ritschel
2021 A* conf
Neural Relightable Participating Media Rendering.
NeurIPS
Quan Zheng, Gurprit Singh, Hans-Peter Seidel
2021 J jnl
Neural Relightable Participating Media Rendering.
CoRR
Quan Zheng, Gurprit Singh, Hans-Peter Seidel
2020 J jnl
Fourier Analysis of Correlated Monte Carlo Importance Sampling.
Comput. Graph. Forum
Gurprit Singh, Kartic Subr, David Coeurjolly, Victor Ostromoukhov, Wojciech Jarosz
2020 — conf
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry.
ECCV (1)
Yifan Xu, Tianqi Fan, Yi Yuan, Gurprit Singh
2020 J jnl
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry.
CoRR
Yifan Xu, Tianqi Fan, Yi Yuan, Gurprit Singh
2020 J jnl
Neural light field 3D printing.
ACM Trans. Graph.
Quan Zheng, Vahid Babaei, Gordon Wetzstein, Hans-Peter Seidel, Matthias Zwicker, Gurprit Singh
2020 J jnl
Perceptual error optimization for Monte Carlo rendering.
CoRR
Vassillen Chizhov, Iliyan Georgiev, Karol Myszkowski, Gurprit Singh
2020 — conf
Real-time Monte Carlo Denoising with the Neural Bilateral Grid.
EGSR (DL)
Xiaoxu Meng, Quan Zheng, Amitabh Varshney, Gurprit Singh, Matthias Zwicker
2019 J jnl
A Perception-driven Hybrid Decomposition for Multi-layer Accommodative Displays.
IEEE Trans. Vis. Comput. Graph.
Hyeonseung Yu, Mojtaba Bemana, Marek Wernikowski, Michal Chwesiuk, Okan Tarhan Tursun, Gurprit Singh, Karol Myszkowski, Radoslaw Mantiuk, Hans-Peter Seidel, Piotr Didyk
2019 J jnl
Analysis of Sample Correlations for Monte Carlo Rendering.
Comput. Graph. Forum
Gurprit Singh, Cengiz Öztireli, Abdalla G. M. Ahmed, David Coeurjolly, Kartic Subr, Oliver Deussen, Victor Ostromoukhov, Ravi Ramamoorthi, Wojciech Jarosz
2019 J jnl
Deep point correlation design.
ACM Trans. Graph.
Thomas Leimkühler, Gurprit Singh, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
2018 J jnl
End-to-end Sampling Patterns.
CoRR
Thomas Leimkühler, Gurprit Singh, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
2018 — conf
Spectral Measures of Distortion for Change Detection in Dynamic Graphs.
COMPLEX NETWORKS (2)
Luca Castelli Aleardi, Semih Salihoglu, Gurprit Singh, Maks Ovsjanikov
2017 J jnl
Convergence analysis for anisotropic monte carlo sampling spectra.
ACM Trans. Graph.
Gurprit Singh, Wojciech Jarosz
2017 J jnl
Variance and Convergence Analysis of Monte Carlo Line and Segment Sampling.
Comput. Graph. Forum
Gurprit Singh, Bailey Miller, Wojciech Jarosz
2016 — conf
Fourier analysis of numerical integration in Monte Carlo rendering: theory and practice: understanding estimation error in Monte Carlo image synthesis.
SIGGRAPH Courses
Kartic Subr, Gurprit Singh, Wojciech Jarosz
2015 — —
Sampling and Variance Analysis for Monte Carlo Integration in Spherical Domain. (Analyse de Variance et Échantillonnage pour l'intégration Monte Carlo sur la sphère).
Gurprit Singh
2015 J jnl
Variance Analysis for Monte Carlo Integration: A Representation-Theoretic Perspective.
CoRR
Michael Kazhdan, Gurprit Singh, Adrien Pilleboue, David Coeurjolly, Victor Ostromoukhov
2015 J jnl
Variance analysis for Monte Carlo integration.
ACM Trans. Graph.
Adrien Pilleboue, Gurprit Singh, David Coeurjolly, Michael Kazhdan, Victor Ostromoukhov
2014 J jnl
Fast tile-based adaptive sampling with user-specified Fourier spectra.
ACM Trans. Graph.
Florent Wachtel, Adrien Pilleboue, David Coeurjolly, Katherine Breeden, Gurprit Singh, Gaël Cathelin, Fernando de Goes, Mathieu Desbrun, Victor Ostromoukhov