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Mark Boss
Biography
Mark Boss is the Co-Head of 3D & Image 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
Two Papers Accepted at ICCV 2025
29 Sep 2025 - Stable Virtual Camera and SViM3D got accepted to ICCV 2025.
Stable Virtual Camera: Generative View Synthesis with Diffusion Models
19 Mar 2025 - ArXiv paper and Project page online. Try the demo.
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
08 Jan 2025 - ArXiv submission and Project page online. It also became a full product at Stability AI.
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
01 Aug 2024 - ArXiv submission and Project page online. It also became a full product at Stability AI.
Recent & Upcoming Talks
Generative AI can unlock several tasks and subtasks in profession media production. This talk discusses recent advances in this field.
Jun 12, 2025 11:00 AM — 11:30 AM
CVPR 2025
Asset production in the game industry is time-consuming, and since “The Vanishing of Ethan Carter” photogrammetry has …
Nov 28, 2023 4:40 PM — 5:15 PM
Hochschule der Medien, Stuttgart
In this talk, I will present our recent work on decomposing an object into its shape, reflectance, and illumination. This highly …
Jul 26, 2022 10:00 AM — 11:00 AM
Adobe Research
Publications
Experience
Leading research in generative AI for 3D.
Research on object acquisition, usage of deep priors to reduce ambiguities, and generative AI.
Research on object acquisition and generative AI.
Research on deep learning based material acquisition.
Research on novel techniques for material, geometry and illumination disentanglement.
Research on casual shape and material acquisition, which resulted in the publication: “Two-shot Spatially-varying BRDF and Shape Estimation”
Development of an Android Application for a mobile payment system.
Recent Posts
Projects
The amount of NeRF paper each day can become overwhelming. After several summaries, I’ve created a small tool that can create blog posts automatically but also can create daily slide decks from arXiv. The tool runs entirely independently and categorizes cs.CV, writes a summary, extracts a teaser image, and builds a slide deck.
