Fabrice Rousselle

According to our database, Fabrice Rousselle authored at least 26 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Real-time Neural Appearance Models.

Tizian Zeltner, Fabrice Rousselle, Andrea Weidlich, Petrik Clarberg, Jan Novák, Benedikt Bitterli, Alex Evans, Tomás Davidovic, Simon Kallweit, Aaron E. Lefohn

ACM Trans. Graph., June, 2024

2023

MesoGAN: Generative Neural Reflectance Shells.

Stavros Diolatzis, Jan Novák, Fabrice Rousselle, Jonathan Granskog, Miika Aittala, Ravi Ramamoorthi, George Drettakis

Comput. Graph. Forum, September, 2023

Recursive Control Variates for Inverse Rendering.

Baptiste Nicolet, Fabrice Rousselle, Jan Novák, Alexander Keller, Wenzel Jakob, Thomas Müller

ACM Trans. Graph., August, 2023

Inverse Global Illumination using a Neural Radiometric Prior.

Saeed Hadadan, Geng Lin, Jan Novák, Fabrice Rousselle, Matthias Zwicker

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

2022

NeRF-Tex: Neural Reflectance Field Textures.

Hendrik Baatz, Jonathan Granskog, Marios Papas, Fabrice Rousselle, Jan Novák

Comput. Graph. Forum, 2022

2021

Real-time neural radiance caching for path tracing.

Thomas Müller, Fabrice Rousselle, Jan Novák, Alexander Keller

ACM Trans. Graph., 2021

Neural scene graph rendering.

Jonathan Granskog, Till N. Schnabel, Fabrice Rousselle, Jan Novák

ACM Trans. Graph., 2021

2020

Neural control variates.

Thomas Müller, Fabrice Rousselle, Alexander Keller, Jan Novák

ACM Trans. Graph., 2020

Compositional neural scene representations for shading inference.

Jonathan Granskog, Fabrice Rousselle, Marios Papas, Jan Novák

ACM Trans. Graph., 2020

2019

Neural Importance Sampling.

Thomas Müller, Brian McWilliams, Fabrice Rousselle, Markus Gross, Jan Novák

ACM Trans. Graph., 2019

Denoising Deep Monte Carlo Renderings.

Delio Vicini, David Adler, Jan Novák, Fabrice Rousselle, Brent Burley

Comput. Graph. Forum, 2019

2018

Denoising with kernel prediction and asymmetric loss functions.

Thijs Vogels, Fabrice Rousselle, Brian McWilliams, Gerhard Röthlin, Alex Harvill, David Adler, Mark Meyer, Jan Novák

ACM Trans. Graph., 2018

2017

Kernel-predicting convolutional networks for denoising Monte Carlo renderings.

Steve Bako, Thijs Vogels, Brian McWilliams, Mark Meyer, Jan Novák, Alex Harvill, Pradeep Sen, Tony DeRose, Fabrice Rousselle

ACM Trans. Graph., 2017

2016

Image-space control variates for rendering.

Fabrice Rousselle, Wojciech Jarosz, Jan Novák

ACM Trans. Graph., 2016

Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings.

Benedikt Bitterli, Fabrice Rousselle, Bochang Moon, José Antonio Iglesias Guitián, David Adler, Kenny Mitchell, Wojciech Jarosz, Jan Novák

Comput. Graph. Forum, 2016

2015

Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering.

Matthias Zwicker, Wojciech Jarosz, Jaakko Lehtinen, Bochang Moon, Ravi Ramamoorthi, Fabrice Rousselle, Pradeep Sen, Cyril Soler, Sung-Eui Yoon

Comput. Graph. Forum, 2015

Path-space Motion Estimation and Decomposition for Robust Animation Filtering.

Henning Zimmer, Fabrice Rousselle, Wenzel Jakob, Oliver Wang, David Adler, Wojciech Jarosz, Olga Sorkine-Hornung, Alexander Sorkine-Hornung

Comput. Graph. Forum, 2015

Recent Advances in Facial Appearance Capture.

Oliver Klehm, Fabrice Rousselle, Marios Papas, Derek Bradley, Christophe Hery, Bernd Bickel, Wojciech Jarosz, Thabo Beeler

Comput. Graph. Forum, 2015

Denoising your Monte Carlo renders: recent advances in image-space adaptive sampling and reconstruction.

Pradeep Sen, Matthias Zwicker, Fabrice Rousselle, Sung-Eui Yoon, Nima Khademi Kalantari

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2015

2014

Image Space Adaptive Rendering.

Fabrice Rousselle

PhD thesis, 2014

Improved sampling for gradient-domain metropolis light transport.

Marco Manzi, Fabrice Rousselle, Markus Kettunen, Jaakko Lehtinen, Matthias Zwicker

ACM Trans. Graph., 2014

2013

Robust Denoising using Feature and Color Information.

Fabrice Rousselle, Marco Manzi, Matthias Zwicker

Comput. Graph. Forum, 2013

2012

Adaptive rendering with non-local means filtering.

Fabrice Rousselle, Claude Knaus, Matthias Zwicker

ACM Trans. Graph., 2012

2011

Adaptive sampling and reconstruction using greedy error minimization.

Fabrice Rousselle, Claude Knaus, Matthias Zwicker

ACM Trans. Graph., 2011

2008

Efficient product sampling using hierarchical thresholding.

Fabrice Rousselle, Petrik Clarberg, Luc Leblanc, Victor Ostromoukhov, Pierre Poulin

Vis. Comput., 2008

Spectral prediction model for variable dot-size printers.

Fabrice Rousselle, Thomas Bugnon, Roger D. Hersch

Proceedings of the 16th Color and Imaging Conference, 2008