Name: Dejan Azinović
Position: Ph.D Candidate
E-Mail: dejan.azinovic@tum.de
Phone: +49-89-289-19486
Room No: 02.07.042

Bio

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.

Research Interest

Inverse rendering and various other topics in Computer Vision and Computer Graphics.

Publications

2023

High-Res Facial Appearance Capture from Polarized Smartphone Images
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]

2022

Neural RGB-D Surface Reconstruction
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]

2019

Inverse Path Tracing for Joint Material and Lighting Estimation
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]