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Jan Novák
Publications
- 2023
- [j37]Stavros Diolatzis, Jan Novák, Fabrice Rousselle, Jonathan Granskog, Miika Aittala, Ravi Ramamoorthi, George Drettakis:
MesoGAN: Generative Neural Reflectance Shells. Comput. Graph. Forum 42(6) (2023) - [j36]Baptiste Nicolet, Fabrice Rousselle, Jan Novák, Alexander Keller, Wenzel Jakob, Thomas Müller:
Recursive Control Variates for Inverse Rendering. ACM Trans. Graph. 42(4): 62:1-62:13 (2023) - [c17]Saeed Hadadan, Geng Lin, Jan Novák, Fabrice Rousselle, Matthias Zwicker:
Inverse Global Illumination using a Neural Radiometric Prior. SIGGRAPH (Conference Paper Track) 2023: 17:1-17:11 - [i12]Saeed Hadadan, Geng Lin, Jan Novák, Fabrice Rousselle, Matthias Zwicker:
Inverse Global Illumination using a Neural Radiometric Prior. CoRR abs/2305.02192 (2023) - [i11]Tizian Zeltner, Fabrice Rousselle, Andrea Weidlich, Petrik Clarberg, Jan Novák, Benedikt Bitterli, Alex Evans, Tomás Davidovic, Simon Kallweit, Aaron E. Lefohn:
Real-Time Neural Appearance Models. CoRR abs/2305.02678 (2023) - 2022
- [j35]Hendrik Baatz, Jonathan Granskog, Marios Papas, Fabrice Rousselle, Jan Novák:
NeRF-Tex: Neural Reflectance Field Textures. Comput. Graph. Forum 41(6): 287-301 (2022) - 2021
- [j34]Thomas Müller, Fabrice Rousselle, Jan Novák, Alexander Keller:
Real-time neural radiance caching for path tracing. ACM Trans. Graph. 40(4): 36:1-36:16 (2021) - [j33]Markus Kettunen, Eugene d'Eon, Jacopo Pantaleoni, Jan Novák:
An unbiased ray-marching transmittance estimator. ACM Trans. Graph. 40(4): 137:1-137:20 (2021) - [j32]Jonathan Granskog, Till N. Schnabel, Fabrice Rousselle, Jan Novák:
Neural scene graph rendering. ACM Trans. Graph. 40(4): 164:1-164:11 (2021) - [c16]Hendrik Baatz, Jonathan Granskog, Marios Papas, Fabrice Rousselle, Jan Novák:
NeRF-Tex: Neural Reflectance Field Textures. EGSR (DL) 2021: 1-13 - [c15]Eugene d'Eon, Jan Novák:
Zero-variance Transmittance Estimation. EGSR (DL) 2021: 15-20 - [i10]Markus Kettunen, Eugene d'Eon, Jacopo Pantaleoni, Jan Novák:
An unbiased ray-marching transmittance estimator. CoRR abs/2102.10294 (2021) - [i9]Thomas Müller, Fabrice Rousselle, Jan Novák, Alexander Keller:
Real-time Neural Radiance Caching for Path Tracing. CoRR abs/2106.12372 (2021) - 2020
- [j30]Jonathan Granskog, Fabrice Rousselle, Marios Papas, Jan Novák:
Compositional neural scene representations for shading inference. ACM Trans. Graph. 39(4): 135 (2020) - [j29]Thomas Müller, Fabrice Rousselle, Alexander Keller, Jan Novák:
Neural control variates. ACM Trans. Graph. 39(6): 243:1-243:19 (2020) - [i8]Thomas Müller, Fabrice Rousselle, Jan Novák, Alexander Keller:
Neural Control Variates. CoRR abs/2006.01524 (2020) - 2019
- [j28]Delio Vicini, David Adler, Jan Novák, Fabrice Rousselle, Brent Burley:
Denoising Deep Monte Carlo Renderings. Comput. Graph. Forum 38(1): 316-327 (2019) - [j26]Thomas Müller, Brian McWilliams, Fabrice Rousselle, Markus Gross, Jan Novák:
Neural Importance Sampling. ACM Trans. Graph. 38(5): 145:1-145:19 (2019) - 2018
- [j25]Jan Novák, Iliyan Georgiev, Johannes Hanika, Wojciech Jarosz:
Monte Carlo Methods for Volumetric Light Transport Simulation. Comput. Graph. Forum 37(2): 551-576 (2018) - [j24]Benedikt Bitterli, Wenzel Jakob, Jan Novák, Wojciech Jarosz:
Reversible Jump Metropolis Light Transport Using Inverse Mappings. ACM Trans. Graph. 37(1): 1 (2018) - [j23]Thijs Vogels, Fabrice Rousselle, Brian McWilliams, Gerhard Röthlin, Alex Harvill, David Adler, Mark Meyer, Jan Novák:
Denoising with kernel prediction and asymmetric loss functions. ACM Trans. Graph. 37(4): 124 (2018) - [j22]Zdravko Velinov, Marios Papas, Derek Bradley, Paulo F. U. Gotardo, Parsa Mirdehghan, Steve Marschner, Jan Novák, Thabo Beeler:
Appearance capture and modeling of human teeth. ACM Trans. Graph. 37(6): 207 (2018) - [j21]Benedikt Bitterli, Srinath Ravichandran, Thomas Müller, Magnus Wrenninge, Jan Novák, Steve Marschner, Wojciech Jarosz:
A radiative transfer framework for non-exponential media. ACM Trans. Graph. 37(6): 225 (2018) - [c13]Jan Novák, Iliyan Georgiev, Johannes Hanika, Jaroslav Krivánek, Wojciech Jarosz:
Monte Carlo methods for physically based volume rendering. SIGGRAPH Courses 2018: 14:1 - [c12]Alexander Keller, Jaroslav Krivánek, Jan Novák, Anton Kaplanyan, Marco Salvi:
Machine learning and rendering. SIGGRAPH Courses 2018: 19:1-19:2 - [i5]Thomas Müller, Brian McWilliams, Fabrice Rousselle, Markus Gross, Jan Novák:
Neural Importance Sampling. CoRR abs/1808.03856 (2018) - 2017
- [j20]Alessia Marra, Maurizio Nitti, Marios Papas, Thomas Müller, Markus H. Gross, Wojciech Jarosz, Jan Novák:
2017 Cover Image: Mixing Bowl. Comput. Graph. Forum 36(1): 345-346 (2017) - [j19]Thomas Müller, Markus H. Gross, Jan Novák:
Practical Path Guiding for Efficient Light-Transport Simulation. Comput. Graph. Forum 36(4): 91-100 (2017) - [j18]Steve Bako, Thijs Vogels, Brian McWilliams, Mark Meyer, Jan Novák, Alex Harvill, Pradeep Sen, Tony DeRose, Fabrice Rousselle:
Kernel-predicting convolutional networks for denoising Monte Carlo renderings. ACM Trans. Graph. 36(4): 97:1-97:14 (2017) - [j17]Peter Kutz, Ralf Habel, Yining Karl Li, Jan Novák:
Spectral and decomposition tracking for rendering heterogeneous volumes. ACM Trans. Graph. 36(4): 111:1-111:16 (2017) - [j16]Simon Kallweit, Thomas Müller, Brian McWilliams, Markus H. Gross, Jan Novák:
Deep scattering: rendering atmospheric clouds with radiance-predicting neural networks. ACM Trans. Graph. 36(6): 231:1-231:11 (2017) - [i4]Benedikt Bitterli, Wenzel Jakob, Jan Novák, Wojciech Jarosz:
Reversible Jump Metropolis Light Transport using Inverse Mappings. CoRR abs/1704.06835 (2017) - [i3]Simon Kallweit, Thomas Müller, Brian McWilliams, Markus H. Gross, Jan Novák:
Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks. CoRR abs/1709.05418 (2017) - 2016
- [j14]Benedikt Bitterli, Fabrice Rousselle, Bochang Moon, José Antonio Iglesias Guitián, David Adler, Kenny Mitchell, Wojciech Jarosz, Jan Novák:
Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings. Comput. Graph. Forum 35(4): 107-117 (2016) - [j13]Adrian Blumer, Jan Novák, Ralf Habel, Derek Nowrouzezahrai, Wojciech Jarosz:
Reduced Aggregate Scattering Operators for Path Tracing. Comput. Graph. Forum 35(7): 461-473 (2016) - [j12]Thomas Müller, Marios Papas, Markus H. Gross, Wojciech Jarosz, Jan Novák:
Efficient rendering of heterogeneous polydisperse granular media. ACM Trans. Graph. 35(6): 168:1-168:14 (2016) - [j11]Fabrice Rousselle, Wojciech Jarosz, Jan Novák:
Image-space control variates for rendering. ACM Trans. Graph. 35(6): 169:1-169:12 (2016) - [c11]David Koerner, Jan Novák, Peter Kutz, Ralf Habel, Wojciech Jarosz:
Subdivision Next-Event Estimation for Path-Traced Subsurface Scattering. EGSR (EI&I) 2016: 91-96 - 2015
- [j10]Benedikt Bitterli, Jan Novák, Wojciech Jarosz:
Portal-Masked Environment Map Sampling. Comput. Graph. Forum 34(4): 13-19 (2015) - 2014
- [j8]Carsten Dachsbacher, Jaroslav Krivánek, Milos Hasan, Adam Arbree, Bruce Walter, Jan Novák:
Scalable Realistic Rendering with Many-Light Methods. Comput. Graph. Forum 33(1): 88-104 (2014) - [j7]Jan Novák, Andrew Selle, Wojciech Jarosz:
Residual ratio tracking for estimating attenuation in participating media. ACM Trans. Graph. 33(6): 179:1-179:11 (2014) - 2013
- [j6]Thorsten-Walther Schmidt, Jan Novák, Johannes Meng, Anton Kaplanyan, Tim Reiner, Derek Nowrouzezahrai, Carsten Dachsbacher:
Path-space manipulation of physically-based light transport. ACM Trans. Graph. 32(4): 129:1-129:11 (2013) - [c7]Carsten Dachsbacher, Jaroslav Krivánek, Milos Hasan, Adam Arbree, Bruce Walter, Jan Novák:
Scalable Realistic Rendering with Many-Light Methods. Eurographics (State of the Art Reports) 2013: 23-38 - [c5]Justus Ulbrich, Jan Novák, Hauke Rehfeld, Carsten Dachsbacher:
Progressive Visibility Caching for Fast Indirect Illumination. VMV 2013: 203-210 - 2012
- [j5]Jan Novák, Carsten Dachsbacher:
Rasterized Bounding Volume Hierarchies. Comput. Graph. Forum 31(2pt2): 403-412 (2012) - [j4]Jan Novák, Derek Nowrouzezahrai, Carsten Dachsbacher, Wojciech Jarosz:
Progressive Virtual Beam Lights. Comput. Graph. Forum 31(4): 1407-1413 (2012) - [j3]Thomas Engelhardt, Jan Novák, Thorsten-Walther Schmidt, Carsten Dachsbacher:
Approximate Bias Compensation for Rendering Scenes with Heterogeneous Participating Media. Comput. Graph. Forum 31(7): 2145-2154 (2012) - [j2]Jan Novák, Derek Nowrouzezahrai, Carsten Dachsbacher, Wojciech Jarosz:
Virtual ray lights for rendering scenes with participating media. ACM Trans. Graph. 31(4): 60:1-60:11 (2012) - 2011
- [c3]Jan Novák, Thomas Engelhardt, Carsten Dachsbacher:
Screen-space bias compensation for interactive high-quality global illumination with virtual point lights. SI3D 2011: 119-124 - 2010
- [c2]Jan Novák, Vlastimil Havran, Carsten Dachsbacher:
Path Regeneration for Interactive Path Tracing. Eurographics (Short Papers) 2010: 61-64
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