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ORCIDFabrice Rousselle
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2020 – today
- 2024
[j22]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. ACM Trans. Graph. 43(3): 33:1-33:17 (2024)- 2023
- [j21]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) - [j20]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) - [c4]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 - [i5]Saeed Hadadan, Geng Lin, Jan Novák, Fabrice Rousselle, Matthias Zwicker:
Inverse Global Illumination using a Neural Radiometric Prior. CoRR abs/2305.02192 (2023) - [i4]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
- [j19]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
- [j18]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) - [j17]Jonathan Granskog, Till N. Schnabel, Fabrice Rousselle, Jan Novák:
Neural scene graph rendering. ACM Trans. Graph. 40(4): 164:1-164:11 (2021) - [c3]Hendrik Baatz, Jonathan Granskog, Marios Papas, Fabrice Rousselle, Jan Novák:
NeRF-Tex: Neural Reflectance Field Textures. EGSR (DL) 2021: 1-13 - [i3]Thomas Müller, Fabrice Rousselle, Jan Novák, Alexander Keller:
Real-time Neural Radiance Caching for Path Tracing. CoRR abs/2106.12372 (2021) - 2020
- [j16]Jonathan Granskog, Fabrice Rousselle, Marios Papas, Jan Novák:
Compositional neural scene representations for shading inference. ACM Trans. Graph. 39(4): 135 (2020) - [j15]Thomas Müller, Fabrice Rousselle, Alexander Keller, Jan Novák:
Neural control variates. ACM Trans. Graph. 39(6): 243:1-243:19 (2020) - [i2]Thomas Müller, Fabrice Rousselle, Jan Novák, Alexander Keller:
Neural Control Variates. CoRR abs/2006.01524 (2020)
2010 – 2019
- 2019
- [j14]Delio Vicini, David Adler, Jan Novák, Fabrice Rousselle, Brent Burley:
Denoising Deep Monte Carlo Renderings. Comput. Graph. Forum 38(1): 316-327 (2019) - [j13]Thomas Müller, Brian McWilliams, Fabrice Rousselle, Markus Gross, Jan Novák:
Neural Importance Sampling. ACM Trans. Graph. 38(5): 145:1-145:19 (2019) - 2018
- [j12]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) - [i1]Thomas Müller, Brian McWilliams, Fabrice Rousselle, Markus Gross, Jan Novák:
Neural Importance Sampling. CoRR abs/1808.03856 (2018) - 2017
- [j11]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) - 2016
- [j10]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) - [j9]Fabrice Rousselle, Wojciech Jarosz, Jan Novák:
Image-space control variates for rendering. ACM Trans. Graph. 35(6): 169:1-169:12 (2016) - 2015
- [j8]Matthias Zwicker, Wojciech Jarosz, Jaakko Lehtinen, Bochang Moon, Ravi Ramamoorthi, Fabrice Rousselle, Pradeep Sen, Cyril Soler, Sung-Eui Yoon:
Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering. Comput. Graph. Forum 34(2): 667-681 (2015) - [j7]Oliver Klehm, Fabrice Rousselle, Marios Papas, Derek Bradley, Christophe Hery, Bernd Bickel, Wojciech Jarosz, Thabo Beeler:
Recent Advances in Facial Appearance Capture. Comput. Graph. Forum 34(2): 709-733 (2015) - [j6]Henning Zimmer, Fabrice Rousselle, Wenzel Jakob, Oliver Wang, David Adler, Wojciech Jarosz, Olga Sorkine-Hornung, Alexander Sorkine-Hornung:
Path-space Motion Estimation and Decomposition for Robust Animation Filtering. Comput. Graph. Forum 34(4): 131-142 (2015) - [c2]Pradeep Sen, Matthias Zwicker, Fabrice Rousselle, Sung-Eui Yoon, Nima Khademi Kalantari:
Denoising your Monte Carlo renders: recent advances in image-space adaptive sampling and reconstruction. SIGGRAPH Courses 2015: 11:1-11:255 - 2014
- [b1]Fabrice Rousselle:
Image Space Adaptive Rendering. University of Bern, Switzerland, 2014 - [j5]Marco Manzi, Fabrice Rousselle, Markus Kettunen, Jaakko Lehtinen, Matthias Zwicker:
Improved sampling for gradient-domain metropolis light transport. ACM Trans. Graph. 33(6): 178:1-178:12 (2014) - 2013
- [j4]Fabrice Rousselle, Marco Manzi, Matthias Zwicker:
Robust Denoising using Feature and Color Information. Comput. Graph. Forum 32(7): 121-130 (2013) - 2012
- [j3]Fabrice Rousselle, Claude Knaus, Matthias Zwicker:
Adaptive rendering with non-local means filtering. ACM Trans. Graph. 31(6): 195:1-195:11 (2012) - 2011
- [j2]Fabrice Rousselle, Claude Knaus, Matthias Zwicker:
Adaptive sampling and reconstruction using greedy error minimization. ACM Trans. Graph. 30(6): 159 (2011)
2000 – 2009
- 2008
- [j1]Fabrice Rousselle, Petrik Clarberg, Luc Leblanc, Victor Ostromoukhov, Pierre Poulin:
Efficient product sampling using hierarchical thresholding. Vis. Comput. 24(7-9): 465-474 (2008) - [c1]Fabrice Rousselle, Thomas Bugnon, Roger D. Hersch:
Spectral prediction model for variable dot-size printers. CIC 2008: 73-78
Coauthor Index
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