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Jan Novák
Jan Novák
Principal research scientist at NVIDIA Research
Verificeret mail på nvidia.com - Startside
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Neural importance sampling
T Müller, B McWilliams, F Rousselle, M Gross, J Novák
ACM Transactions on Graphics (ToG) 38 (5), 1-19, 2019
3972019
Kernel-predicting convolutional networks for denoising Monte Carlo renderings.
S Bako, T Vogels, B McWilliams, M Meyer, J Novák, A Harvill, P Sen, ...
ACM Trans. Graph. 36 (4), 97:1-97:14, 2017
3632017
Denoising with kernel prediction and asymmetric loss functions
T Vogels, F Rousselle, B McWilliams, G Röthlin, A Harvill, D Adler, ...
ACM Transactions on Graphics (TOG) 37 (4), 1-15, 2018
2012018
Monte Carlo methods for volumetric light transport simulation
J Novák, I Georgiev, J Hanika, W Jarosz
Computer graphics forum 37 (2), 551-576, 2018
1652018
Practical path guiding for efficient light‐transport simulation
T Müller, M Gross, J Novák
Computer Graphics Forum 36 (4), 91-100, 2017
1582017
Scalable realistic rendering with many‐light methods
C Dachsbacher, J Křivánek, M Hašan, A Arbree, B Walter, J Novák
Computer Graphics Forum 33 (1), 88-104, 2014
1582014
Real-time neural radiance caching for path tracing
T Müller, F Rousselle, J Novák, A Keller
arXiv preprint arXiv:2106.12372, 2021
1392021
Nonlinearly weighted first‐order regression for denoising Monte Carlo renderings
B Bitterli, F Rousselle, B Moon, JA Iglesias‐Guitián, D Adler, K Mitchell, ...
Computer Graphics Forum 35 (4), 107-117, 2016
1202016
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), 1-11, 2017
1132017
Residual ratio tracking for estimating attenuation in participating media.
J Novák, A Selle, W Jarosz
ACM Trans. Graph. 33 (6), 179:1-179:11, 2014
1102014
Virtual ray lights for rendering scenes with participating media
J Novák, D Nowrouzezahrai, C Dachsbacher, W Jarosz
ACM Transactions on Graphics (TOG) 31 (4), 1-11, 2012
992012
Spectral and decomposition tracking for rendering heterogeneous volumes
P Kutz, R Habel, YK Li, J Novák
ACM Transactions on Graphics (TOG) 36 (4), 1-16, 2017
942017
Denoising Monte Carlo renderings using machine learning with importance sampling
T Vogels, F Rousselle, B McWilliams, M Meyer, J Novak
US Patent 10,572,979, 2020
862020
A radiative transfer framework for non-exponential media
B Bitterli, S Ravichandran, T Müller, M Wrenninge, J Novák, S Marschner, ...
682018
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
642016
Neural control variates
T Müller, F Rousselle, A Keller, J Novák
ACM Transactions on Graphics (TOG) 39 (6), 1-19, 2020
582020
Kernel-predicting convolutional neural networks for denoising
T Vogels, J Novák, F Rousselle, B McWilliams
US Patent 10,475,165, 2019
582019
Path regeneration for interactive path tracing.
J Novák, V Havran, C Dachsbacher
Eurographics (Short Papers), 61-64, 2010
562010
Progressive virtual beam lights
J Novák, D Nowrouzezahrai, C Dachsbacher, W Jarosz
Computer Graphics Forum 31 (4), 1407-1413, 2012
552012
Reversible jump metropolis light transport using inverse mappings
B Bitterli, W Jakob, J Novák, W Jarosz
ACM Transactions on Graphics (TOG) 37 (1), 1-12, 2017
532017
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Artikler 1–20