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Thomas Müller
Thomas Müller
Principal Research Scientist, NVIDIA
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
Neural importance sampling
T Müller, B McWilliams, F Rousselle, M Gross, J Novák
ACM Transactions on Graphics (TOG) 38 (5), 145, 2019
1552019
Practical Path Guiding for Efficient Light‐Transport Simulation
T Müller, M Gross, J Novák
Computer Graphics Forum 36 (4), 91-100, 2017
922017
Deep scattering: Rendering atmospheric clouds with radiance-predicting neural networks
S Kallweit, T Müller, B McWilliams, M Gross, J Novák
ACM Transactions on Graphics (TOG) 36 (6), 231, 2017
602017
Efficient rendering of heterogeneous polydisperse granular media
T Müller, M Papas, M Gross, W Jarosz, J Novák
ACM Transactions on Graphics (TOG) 35 (6), 1-14, 2016
392016
A radiative transfer framework for non-exponential media
B Bitterli, S Ravichandran, T Müller, M Wrenninge, J Novák, S Marschner, ...
ACM Transactions on Graphics (TOG) 37 (6), 1-17, 2018
322018
Path guiding in production
J Vorba, J Hanika, S Herholz, T Müller, J Křivánek, A Keller
ACM SIGGRAPH 2019 Courses, 1-77, 2019
262019
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
T Müller, A Evans, C Schied, A Keller
arXiv preprint arXiv:2201.05989, 2022
202022
Neural control variates
T Müller, F Rousselle, A Keller, J Novák
ACM Transactions on Graphics (TOG) 39 (6), 1-19, 2020
142020
"Practical Path Guiding" in Production
T Müller
ACM SIGGRAPH 2019 Courses, 35-48, 2019
7*2019
Practical Product Sampling by Fitting and Composing Warps
D Hart, M Pharr, T Müller, W Lopes, M McGuire, P Shirley
Computer Graphics Forum 39 (4), 149-158, 2020
52020
Real-time Neural Radiance Caching for Path Tracing
T Müller, F Rousselle, J Novák, A Keller
ACM Transactions on Graphics (TOG) 40 (4), 16, 2021
42021
Tiny CUDA Neural Network Framework
T Müller
https://github.com/nvlabs/tiny-cuda-nn, 2021
32021
Estimating product integrals using a composition of warps
DA Hart, MM Pharr, T Müller, W Lopes, M McGuire, PS Shirley
US Patent 11,055,381, 2021
12021
Dynamic Diffuse Global Illumination Resampling
Z Majercik, T Müller, A Keller, D Nowrouzezahrai, M McGuire
Computer Graphics Forum, 2021
2021
Path Guiding Using Spatio‐Directional Mixture Models
A Dodik, M Papas, C Öztireli, T Müller
Computer Graphics Forum, 2021
2021
Extracting Triangular 3D Models, Materials, and Lighting From Images
J Munkberg, J Hasselgren, T Shen, J Gao, W Chen, A Evans, T Müller, ...
arXiv preprint arXiv:2111.12503, 2021
2021
Neural network control variates
T Müller, FPA Rousselle, AG Keller, J Novák
US Patent App. 17/083,787, 2021
2021
Dynamic Diffuse Global Illumination Resampling
Z Majercik, T Müller, A Keller, D Nowrouzezahrai, M McGuire
ACM SIGGRAPH 2021 Talks, 1-2, 2021
2021
Efficient Light-Transport Simulation Using Machine Learning
T Müller
ETH Zürich, 2019
2019
Efficient rendering of heterogeneous polydisperse granular media
J Novak, T Muller, M Papas, W Jarosz
US Patent 10,169,910, 2019
2019
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