Neural importance sampling T Müller, B McWilliams, F Rousselle, M Gross, J Novák ACM Transactions on Graphics (ToG) 38 (5), 1-19, 2019 | 346 | 2019 |
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 | 331 | 2017 |
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 | 187 | 2018 |
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 | 156 | 2014 |
Practical path guiding for efficient light‐transport simulation T Müller, M Gross, J Novák Computer Graphics Forum 36 (4), 91-100, 2017 | 151 | 2017 |
Monte Carlo methods for volumetric light transport simulation J Novák, I Georgiev, J Hanika, W Jarosz Computer graphics forum 37 (2), 551-576, 2018 | 145 | 2018 |
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 | 113 | 2016 |
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 | 106 | 2017 |
Real-time neural radiance caching for path tracing T Müller, F Rousselle, J Novák, A Keller arXiv preprint arXiv:2106.12372, 2021 | 105 | 2021 |
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 | 102 | 2014 |
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 | 100 | 2012 |
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 | 87 | 2017 |
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 | 75 | 2020 |
A radiative transfer framework for non-exponential media B Bitterli, S Ravichandran, T Müller, M Wrenninge, J Novák, S Marschner, ... | 62 | 2018 |
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 | 62 | 2016 |
Progressive virtual beam lights J Novák, D Nowrouzezahrai, C Dachsbacher, W Jarosz Computer Graphics Forum 31 (4), 1407-1413, 2012 | 56 | 2012 |
Path regeneration for interactive path tracing. J Novák, V Havran, C Dachsbacher Eurographics (Short Papers), 61-64, 2010 | 56 | 2010 |
Neural control variates T Müller, F Rousselle, A Keller, J Novák ACM Transactions on Graphics (TOG) 39 (6), 1-19, 2020 | 55 | 2020 |
Kernel-predicting convolutional neural networks for denoising T Vogels, J Novák, F Rousselle, B McWilliams US Patent 10,475,165, 2019 | 51 | 2019 |
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 | 47 | 2017 |