Details

Title

Projektass. Dipl.-Ing. BSc
Function:
  • Scientist

Room

HD0505

Links

Phone

+43-1-58801-18688

E-Mail

celarek [at] cg.tuwien.ac.at

Function

  • PhD Student
  • Marie Skłodowska-Curie fellow under the EVOCATION training network

Interests

  • Physically based rendering
  • Deep learning for 3d data
  • Point clouds, Gaussian mixture models

Current project

I'm working on a new way of performing deep learning on unstructured 3d data, in particular Gaussian mixture models.

Publications

5 Publications found:
Image Bib Reference Publication Type
2022
Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer
Gaussian Mixture Convolution Networks
In The Tenth International Conference on Learning Representations (ICLR 2022), pages 1-23. April 2022.
[paper] [Code on github]
Conference Paper
2019
Adam Celarek, Wenzel Jakob, Michael Wimmer, Jaakko Lehtinen
Quantifying the Error of Light Transport Algorithms
Computer Graphics Forum, 38(4):111-121, July 2019. [paper_preprint] [Git repository]
Journal Paper with Conference Talk
Stefan Ohrhallinger, Adam Celarek
X-Mas Card 2019
[image] [pdf]
X-Mas Card
2017
Adam Celarek
Quantifying the Convergence of Light-Transport Algorithms
[poster] [thesis]
Master Thesis
2012
Adam Celarek
Merging Ray Tracing and Rasterization in Mixed Reality
[paper]
Bachelor Thesis
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