Thomas Müller

Orcid: 0000-0001-7577-755X

Affiliations:
  • NVIDIA Research, Zürich, Switzerland
  • ETH Zürich, Switzerland (PhD 2019)
  • Disney Research, Los Angeles, CA, USA (2016 - 2019)


According to our database1, Thomas Müller authored at least 23 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Adaptive Shells for Efficient Neural Radiance Field Rendering.
ACM Trans. Graph., December, 2023

Recursive Control Variates for Inverse Rendering.
ACM Trans. Graph., August, 2023

Compact Neural Graphics Primitives with Learned Hash Probing.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neuralangelo: High-Fidelity Neural Surface Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Unbiased inverse volume rendering with differential trackers.
ACM Trans. Graph., 2022

Instant neural graphics primitives with a multiresolution hash encoding.
ACM Trans. Graph., 2022

Dynamic Diffuse Global Illumination Resampling.
Comput. Graph. Forum, 2022

Path Guiding Using Spatio-Directional Mixture Models.
Comput. Graph. Forum, 2022

Variable Bitrate Neural Fields.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

Extracting Triangular 3D Models, Materials, and Lighting From Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Real-time neural radiance caching for path tracing.
ACM Trans. Graph., 2021

2020
Neural control variates.
ACM Trans. Graph., 2020

Practical Product Sampling by Fitting and Composing Warps.
Comput. Graph. Forum, 2020

2019
Efficient Light-Transport Simulation Using Machine Learning.
PhD thesis, 2019

Neural Importance Sampling.
ACM Trans. Graph., 2019

Path guiding in production.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2019

2018
A radiative transfer framework for non-exponential media.
ACM Trans. Graph., 2018

2017
Deep scattering: rendering atmospheric clouds with radiance-predicting neural networks.
ACM Trans. Graph., 2017

Practical Path Guiding for Efficient Light-Transport Simulation.
Comput. Graph. Forum, 2017

2017 Cover Image: <i>Mixing Bowl</i>.
Comput. Graph. Forum, 2017

2016
Efficient rendering of heterogeneous polydisperse granular media.
ACM Trans. Graph., 2016


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