Publications

Our publications provide insight into some of our leading-edge research.

Filters

Filters

Publication Year

Research Areas

Events

2025

Generative Detail Enhancement for Physically Based Materials
Saeed Hadadan, Benedikt Bitterli, Tizian Zeltner, Jan Novák, Fabrice Rousselle, Jacob Munkberg, Jon Hasselgren, Bart Wronski, Matthias Zwicker

2023

Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling
Jakob Hoydis, Fayçal Aït Aoudia , Sebastian Cammerer, Merlin Nimier-David, Nikolaus Binder, Guillermo Marcus, Alex Keller
Neuralangelo: High-Fidelity Neural Surface Reconstruction
Max Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin
The Best Inventions of 2023, TIME Magazine
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
Joint Neural Denoising of Surfaces and Volumes
Nikolai Hofmann, Jon Hasselgren, Jacob Munkberg

2022

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller, Alex Evans, Christoph Schied, Alex Keller
Best Technical Paper, SIGGRAPH 2022
THE BEST INVENTIONS OF 2022, TIME
A Dataset and Explorer for 3D Signed Distance Functions
Towaki Takikawa, Andrew Glassner, Morgan McGuire

2021

Extracting Triangular 3D Models, Materials, and Lighting From Images
Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, Sanja Fidler
Real-time Neural Radiance Caching for Path Tracing
Thomas Müller, Fabrice Rousselle, Jan Novák, Alex Keller
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler
Interactive Path Tracing and Reconstruction of Sparse Volumes
Nikolai Hofmann, Jon Hasselgren, Petrik Clarberg, Jacob Munkberg
Best Paper Presentation, i3D 2021

2018

Machine Learning and Rendering
Alex Keller, Jaroslav Křivánek, Jan Novák, Anton Kaplanyan, Marco Salvi

2017

Integral Equations and Machine Learning
Alex Keller, Ken Dahm