Thomas Müller
Most Recent Affiliation(s):
- NVIDIA
Bio:
SIGGRAPH 2022
Thomas is a researcher at NVIDIA who’s passionate about the general project of AI. Having a background in game engine/framework programming, he loves to apply research findings to graphics algorithms. He also worked on rendering at Disney and developed the open source tev image viewer and the rhythm game osu!.
Experience(s):
Learning Category: Presentation(s):
Type: [Technical Papers]
Recursive Control Variates for Inverse Rendering Presenter(s): [Nicolet] [Rousselle] [Novák] [Keller] [Jakob] [Müller]
[SIGGRAPH 2023]
Type: [Technical Papers]
Instant neural graphics primitives with a multiresolution hash encoding Presenter(s): [Müller] [Evans] [Schied] [Keller]
[SIGGRAPH 2022]
Type: [Technical Papers]
Unbiased inverse volume rendering with differential trackers Presenter(s): [Nimier-David] [Müller] [Keller] [Jakob]
[SIGGRAPH 2022]
Type: [Technical Papers]
Real-time neural radiance caching for path tracing Presenter(s): [Müller] [Rousselle] [Novák] [Keller]
[SIGGRAPH 2021]
Type: [Technical Papers]
Neural Importance Sampling Presenter(s): [Müller] [Mcwilliams] [Rousselle] [Gross] [Novák]
[SIGGRAPH 2019]
Role(s):
- Course Presenter
- Realtime Live Presenter
- Studio (SIGGRAPH Lab) Presenter
- Talk (Sketch) Presenter
- Technical Paper Presenter
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