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Jan Novák
Jan Novák
Senior research scientist at NVIDIA Research
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
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
2362017
Neural importance sampling
T Müller, B McWilliams, F Rousselle, M Gross, J Novák
ACM Transactions on Graphics (TOG) 38 (5), 1-19, 2019
1912019
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
1382014
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
1252018
Practical path guiding for efficient light‐transport simulation
T Müller, M Gross, J Novák
Computer Graphics Forum 36 (4), 91-100, 2017
1052017
Monte Carlo methods for volumetric light transport simulation
J Novák, I Georgiev, J Hanika, W Jarosz
Computer Graphics Forum 37 (2), 551-576, 2018
1012018
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
1012016
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
962012
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
782014
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
682017
Path regeneration for interactive path tracing.
J Novák, V Havran, C Dachsbacher
Eurographics (Short Papers), 61-64, 2010
592010
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
572017
Progressive virtual beam lights
J Novák, D Nowrouzezahrai, C Dachsbacher, W Jarosz
Computer Graphics Forum 31 (4), 1407-1413, 2012
552012
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
472016
Path-space manipulation of physically-based light transport
TW Schmidt, J Novak, J Meng, AS Kaplanyan, T Reiner, ...
ACM Transactions On Graphics (TOG) 32 (4), 1-11, 2013
412013
A radiative transfer framework for non-exponential media
B Bitterli, S Ravichandran, T Müller, M Wrenninge, J Novák, S Marschner, ...
392018
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
372017
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
322020
Screen-space bias compensation for interactive high-quality global illumination with virtual point lights
J Novák, T Engelhardt, C Dachsbacher
Symposium on Interactive 3D Graphics and Games, 119-124, 2011
322011
Kernel-predicting convolutional neural networks for denoising
T Vogels, J Novák, F Rousselle, B McWilliams
US Patent 10,475,165, 2019
292019
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Articles 1–20