Gurprit Singh

Orcid: 0000-0003-0970-5835

According to our database1, Gurprit Singh authored at least 31 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Edge-preserving noise for diffusion models.
CoRR, 2024

Jump Restore Light Transport.
CoRR, 2024

SABER-6D: Shape Representation Based Implicit Object Pose Estimation.
CoRR, 2024

Multiple importance sampling for stochastic gradient estimation.
CoRR, 2024

Blue noise for diffusion models.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

2023
Patternshop: Editing Point Patterns by Image Manipulation.
ACM Trans. Graph., August, 2023

Efficient Gradient Estimation via Adaptive Sampling and Importance Sampling.
CoRR, 2023

Perceptual error optimization for Monte Carlo animation rendering.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Joint Sampling and Optimisation for Inverse Rendering.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

2022
Scalable Multi-Class Sampling via Filtered Sliced Optimal Transport.
ACM Trans. Graph., 2022

Regression-based Monte Carlo integration.
ACM Trans. Graph., 2022

Perceptual Error Optimization for Monte Carlo Rendering.
ACM Trans. Graph., 2022

Point-Pattern Synthesis using Gabor and Random Filters.
Comput. Graph. Forum, 2022

2021
Blue Noise Plots.
Comput. Graph. Forum, 2021

Neural Relightable Participating Media Rendering.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Neural light field 3D printing.
ACM Trans. Graph., 2020

Fourier Analysis of Correlated Monte Carlo Importance Sampling.
Comput. Graph. Forum, 2020

Real-time Monte Carlo Denoising with the Neural Bilateral Grid.
Proceedings of the 31st Eurographics Symposium on Rendering, 2020

Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
A Perception-driven Hybrid Decomposition for Multi-layer Accommodative Displays.
IEEE Trans. Vis. Comput. Graph., 2019

Deep point correlation design.
ACM Trans. Graph., 2019

Analysis of Sample Correlations for Monte Carlo Rendering.
Comput. Graph. Forum, 2019

2018
End-to-end Sampling Patterns.
CoRR, 2018

Spectral Measures of Distortion for Change Detection in Dynamic Graphs.
Proceedings of the Complex Networks and Their Applications VII, 2018

2017
Convergence analysis for anisotropic monte carlo sampling spectra.
ACM Trans. Graph., 2017

Variance and Convergence Analysis of Monte Carlo Line and Segment Sampling.
Comput. Graph. Forum, 2017

2016
Fourier analysis of numerical integration in Monte Carlo rendering: theory and practice: understanding estimation error in Monte Carlo image synthesis.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2016

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).
PhD thesis, 2015

Variance analysis for Monte Carlo integration.
ACM Trans. Graph., 2015

Variance Analysis for Monte Carlo Integration: A Representation-Theoretic Perspective.
CoRR, 2015

2014
Fast tile-based adaptive sampling with user-specified Fourier spectra.
ACM Trans. Graph., 2014


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