Christian Murphy
Machine Learning R&D for Faces
I am currently a Senior Machine Learning R&D Developer at Unity / Ziva Dynamics in their Faces ML Team.
I have worked on ML solutions for games such as Star Wars Outlaws, Avatar New Horizons, and Assassin's Creed Valhalla. I briefly assisted in research conducted for Dune 2 during my short stint at DNEG.
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I recently received my Master's of Computer Science from Concordia University for my thesis "Generation of Video Game Production Quality Face Textures."
I attended McGill University for PhD studies, but left for industry experience. I plan to go back to school in a few years.
Research Interests
I do research in the intersection of Machine Learning and Computer Graphics. My current focus is in all areas related to a character's face in video games and film. This includes the classification and generation of 3D shapes, textures, and animations.
Publications
C. Murphy et al. "Artist Guided Generation of Video Game Production Quality Face Textures",
Computers & Graphics Journal (2021).
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S. Saryazdi, C. Murphy, and S. Mudur "Disentangled Rendering Loss for Supervised Material Property Recovery", GRAPP (2021).
Best Student Paper
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C. Murphy et al. "Appearance Controlled Face Texture Generation for Video Game Characters", ACM SIGGRAPH MIG (2020).
Best Student Paper
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S. Saryazdi, C. Murphy, and S. Mudur "The Problem of Entangled Material Properties in SVBRDF Recovery", Eurographics MAM (2020).