Mark Boss | |
Phone | +49 (0)7071 / 29-75465 |
Address | Department of Computer Science Computer Graphics Maria-von-Linden-Straße 6 72076 Tübingen, Germany |
Room | 20-30/A18 |
Research Interests
- Inverse Graphics
- Joint disentanglement of appearance, illumination, and shape
- Generative deep learning
Publications
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections.
Mark Boss, Andreas Engelhardt, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan T. Barron, Hendrik P. A. Lensch and Varun Jampani
arXiv Preprint 2022
[Project Page] [Paper]
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition.
Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron and Hendrik P. A. Lensch
Neurips 2021
[Paper][Project Page]
NeRD: Neural Reflectance Decomposition from Image Collections.
Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu and Hendrik P. A. Lensch
ICCV 2021
[Project Page] [Paper]
Two-shot Spatially-varying BRDF and Shape Estimation.
Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz.
CVPR 2020
[Project Page] [Paper][Code][Dataset]
Single Image BRDF Parameter Estimation with a Conditional Adversarial Network.
Mark Boss, Hendrik P. A. Lensch.
arXiv
[Paper]
Deep Dual Loss BRDF Parameter Estimation.
Mark Boss, Fabian Groh, Sebastian Herholz, Hendrik P. A. Lensch.
Workshop on Material Appearance Modeling - MAM2018
[Paper]