Name: | Dejan Azinović |
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Position: | Ph.D Candidate |
E-Mail: | dejan.azinovic@tum.de |
Phone: | +49-89-289-19486 |
Room No: | 02.07.042 |
I am Dejan. I received my Bachelor's and Master's degree in Computer Science at the University of Sarajevo. I joined the lab of Prof. Matthias Nießner in October 2017. My research topic is inverse rendering. Using geometry and color data of a scene, I am trying to estimate the underlying colors, light emissions and material properties of each object in the scene.
High-Res Facial Appearance Capture from Polarized Smartphone Images |
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Dejan Azinović, Olivier Maury, Christophe Hery, Matthias Nießner, Justus Thies |
CVPR 2023 |
We propose a novel method for high-quality facial texture reconstruction from RGB images using a novel capturing routine based on a single smartphone which we equip with an inexpensive polarization foil. Specifically, we turn the flashlight into a polarized light source and add a polarization filter on top of the camera to separate the skin's diffuse and specular response. |
[video][bibtex][project page] |
Neural RGB-D Surface Reconstruction |
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Dejan Azinović, Ricardo Martin-Brualla, Dan B Goldman, Matthias Nießner, Justus Thies |
CVPR 2022 |
In this work, we explore how to leverage the success of implicit novel view synthesis methods for surface reconstruction. We demonstrate how depth measurements can be incorporated into the radiance field formulation to produce more detailed and complete reconstruction results than using methods based on either color or depth data alone. |
[video][bibtex][project page] |
Inverse Path Tracing for Joint Material and Lighting Estimation |
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Dejan Azinović, Tzu-Mao Li, Anton Kaplanyan, Matthias Nießner |
CVPR 2019 (Oral) |
We introduce Inverse Path Tracing, a novel approach to jointly estimate the material properties of objects and light sources in indoor scenes by using an invertible light transport simulation. |
[video][bibtex][project page] |