People

Fabrice Rousselle
Research Area(s)
Artificial Intelligence and Machine Learning
Computer Graphics
Real-Time Rendering
Main Field of Interest
Computer Graphics
Google Scholar
https://scholar.google.com/citations?user=7iUaxXEAAAAJ

Publications

2023

Inverse Global Illumination using a Neural Radiometric Prior
Saeed Hadadan, Geng Lin, Jan Novák, Fabrice Rousselle, Matthias Zwicker
SIGGRAPH 2023
Real-Time Neural Appearance Models
Tizian Zeltner, Fabrice Rousselle, Andrea Weidlich, Petrik Clarberg, Jan Novák, Benedikt Bitterli, Alex Evans, Tomáš Davidovič, Simon Kallweit, Aaron Lefohn
TOG (Presented at SIGGRAPH 2024)
Recursive Control Variates for Inverse Rendering
Baptiste Nicolet, Fabrice Rousselle, Jan Novák, Alexander Keller, Wenzel Jakob, Thomas Müller
SIGGRAPH 2023

2021

NeRF-Tex: Neural Reflectance Field Textures
Hendrik Baatz, Jonathan Granskog, Marios Papas, Fabrice Rousselle, Jan Novák
Eurographics Symposium on Rendering (EGSR)
Neural Scene Graph Rendering
Jonathan Granskog, Till Schnabel, Fabrice Rousselle, Jan Novák
ACM Transactions on Graphics
Real-time Neural Radiance Caching for Path Tracing
Thomas Müller, Fabrice Rousselle, Jan Novák, Alex Keller
ACM Transactions on Graphics

2020

Neural Control Variates
Thomas Müller, Fabrice Rousselle, Alex Keller, Jan Novák
ACM Transactions on Graphics (SIGGRAPH Asia)
Compositional Neural Scene Representations for Shading Inference
Jonathan Granskog, Fabrice Rousselle, Marios Papas, Jan Novák
ACM Transaction on Graphics (SIGGRAPH)
MesoGAN: Generative Neural Reflectance Shells
Stavros Diolatzis, Jan Novák, Fabrice Rousselle, Jonathan Granskog, Miika Aittala, Ravi Ramamoorthi, George Drettakis
Computer Graphics Forum