Fabrice Rousselle

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 20

Top Topics

Light Transport

Adaptive Sampling

Recent Advances

Top Venues

ACM Trans. Graph.

Comput. Graph. Forum

SIGGRAPH Courses

Publications

Baptiste Nicolet, Fabrice Rousselle, Jan Novák, Alexander Keller, Wenzel Jakob, Thomas Müller
Recursive Control Variates for Inverse Rendering. ACM Trans. Graph. 42 (4) (2023)
Saeed Hadadan, Geng Lin, Jan Novák, Fabrice Rousselle, Matthias Zwicker
Inverse Global Illumination using a Neural Radiometric Prior. CoRR (2023)
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)
Saeed Hadadan, Geng Lin, Jan Novák, Fabrice Rousselle, Matthias Zwicker
Inverse Global Illumination using a Neural Radiometric Prior. SIGGRAPH (Conference Paper Track) (2023)
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 (2023)
Hendrik Baatz, Jonathan Granskog, Marios Papas, Fabrice Rousselle, Jan Novák
NeRF-Tex: Neural Reflectance Field Textures. Comput. Graph. Forum 41 (6) (2022)
Hendrik Baatz, Jonathan Granskog, Marios Papas, Fabrice Rousselle, Jan Novák
NeRF-Tex: Neural Reflectance Field Textures. EGSR (DL) (2021)
Thomas Müller, Fabrice Rousselle, Jan Novák, Alexander Keller
Real-time neural radiance caching for path tracing. ACM Trans. Graph. 40 (4) (2021)
Jonathan Granskog, Till N. Schnabel, Fabrice Rousselle, Jan Novák
Neural scene graph rendering. ACM Trans. Graph. 40 (4) (2021)
Thomas Müller, Fabrice Rousselle, Jan Novák, Alexander Keller
Real-time Neural Radiance Caching for Path Tracing. CoRR (2021)
Thomas Müller, Fabrice Rousselle, Alexander Keller, Jan Novák
Neural control variates. ACM Trans. Graph. 39 (6) (2020)
Thomas Müller, Fabrice Rousselle, Jan Novák, Alexander Keller
Neural Control Variates. CoRR (2020)
Jonathan Granskog, Fabrice Rousselle, Marios Papas, Jan Novák
Compositional neural scene representations for shading inference. ACM Trans. Graph. 39 (4) (2020)
Thomas Müller, Brian McWilliams, Fabrice Rousselle, Markus Gross, Jan Novák
Neural Importance Sampling. ACM Trans. Graph. 38 (5) (2019)
Delio Vicini, David Adler, Jan Novák, Fabrice Rousselle, Brent Burley
Denoising Deep Monte Carlo Renderings. Comput. Graph. Forum 38 (1) (2019)
Thomas Müller, Brian McWilliams, Fabrice Rousselle, Markus Gross, Jan Novák
Neural Importance Sampling. CoRR (2018)
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) (2018)
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) (2017)
Fabrice Rousselle, Wojciech Jarosz, Jan Novák
Image-space control variates for rendering. ACM Trans. Graph. 35 (6) (2016)
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) (2016)
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) (2015)
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)
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) (2015)
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) (2015)
Marco Manzi, Fabrice Rousselle, Markus Kettunen, Jaakko Lehtinen, Matthias Zwicker
Improved sampling for gradient-domain metropolis light transport. ACM Trans. Graph. 33 (6) (2014)
Fabrice Rousselle, Marco Manzi, Matthias Zwicker
Robust Denoising using Feature and Color Information. Comput. Graph. Forum 32 (7) (2013)
Fabrice Rousselle, Claude Knaus, Matthias Zwicker
Adaptive rendering with non-local means filtering. ACM Trans. Graph. 31 (6) (2012)
Fabrice Rousselle, Claude Knaus, Matthias Zwicker
Adaptive sampling and reconstruction using greedy error minimization. ACM Trans. Graph. 30 (6) (2011)
Fabrice Rousselle, Petrik Clarberg, Luc Leblanc, Victor Ostromoukhov, Pierre Poulin
Efficient product sampling using hierarchical thresholding. Vis. Comput. 24 (7-9) (2008)
Fabrice Rousselle, Thomas Bugnon, Roger D. Hersch
Spectral prediction model for variable dot-size printers. Color Imaging Conference (2008)