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Two Minute Papers: Gaussian Material Synthesis (SIGGRAPH 2018)

In this work, we teach an AI the concept of metallic, translucent materials and more. The paper “Gaussian Material Synthesis” and its source code is available here:

Gaussian Material Synthesis – ACM Transactions on Graphics (SIGGRAPH 2018) – Károly Zsolnai-Fehér, Peter Wonka, Michael Wimmer

Acknowledgments:
We would like to thank Robin Marin for the material test scene and Vlad Miller for his help with geometry modeling, Felícia Zsolnai-Fehér for improving the design of many figures, Hiroyuki Sakai, Christian Freude, Johannes Unterguggenberger, Pranav Shyam and Minh Dang for their useful comments, and Silvana Podaras for her help with a previous version of this work. We also thank NVIDIA for providing the GPU used to train our neural networks. This work was partially funded by Austrian Science Fund (FWF), project number P27974. Scene and geometry credits: Gold Bars – JohnsonMartin, Christmas Ornaments – oenvoyage, Banana – sgamusse, Bowl – metalix, Grapes – PickleJones, Glass Fruits – BobReed64, Ice cream – b2przemo, Vases – Technausea, Break Time – Jay-Artist, Wrecking Ball – floydkids, Italian Still Life – aXel, Microplanet – marekv, Microplanet vegetation – macio.

Splash screen/thumbnail design: Felícia Fehér – http://felicia.hu

Károly Zsolnai-Fehér’s links:
Facebook: https://www.facebook.com/TwoMinutePapers/
Twitter: https://twitter.com/karoly_zsolnai
Web: https://cg.tuwien.ac.at/~zsolnai/

#neuralrendering

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