Mark Boss

Mark Boss

Research Scientist

Stability AI

Biography

Mark Boss is a researcher at Stability AI. He worked at Unity Technologies before and completed his PhD at the University of Tübingen in the computer graphics group of Prof. Hendrik Lensch. His research interests lie at the intersection of machine learning and computer graphics, focusing mainly on inferring physical properties (shape, material, illumination) from images.

If you are interested in a research collaboration, please drop me a    mail with your CV.

Interests
  • Machine Learning
  • Computer Graphics
  • Inverse Rendering
Education
  • PhD in Computer Science, 2023

    University of Tübingen

  • MSc in Computer Science, 2018

    University of Tübingen

  • BSc in Computer Science, 2016

    Osnabrück University of Applied Sciences

News

Collaborative Control for Geometry-Conditioned PBR Image Generation
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild
New Job at Stability AI
Talk at Games Day 2023
PhD Defended

Publications

Experience

 
 
 
 
 
Stability AI
Research Scientist
Jan 2024 – Present Germany
Research on object acquisition, usage of deep priors to reduce ambiguities, and generative AI.
 
 
 
 
 
Unity Technologies
Senior Research Scientist
Sep 2022 – Jan 2024 Germany
Research on object acquisition and generative AI.
 
 
 
 
 
University of Tübingen
Ph.D. Student
Jun 2018 – Jun 2022 Tübingen, Germany
Research on deep learning based material acquisition.
 
 
 
 
 
Google
Student Researcher
Jun 2021 – Apr 2022 Germany (Remote)
Research on novel techniques for material, geometry and illumination disentanglement.
 
 
 
 
 
NVIDIA
Research Intern
Apr 2019 – Jul 2019 Westford, MA
Research on casual shape and material acquisition, which resulted in the publication: “Two-shot Spatially-varying BRDF and Shape Estimation”
 
 
 
 
 
zahlz
Android Developer
Jul 2015 – Jun 2017 Osnabrück
Development of an Android Application for a mobile payment system.