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Marko Mihajlovic

PhD student
CAB G 89
marko.mihajlovic@inf.ethz.ch

Basic Information

I am a PhD student at ETH Zurich supervised by Prof. Dr. Siyu Tang since September 2020. Previously, I obtained my Master's degree at ETH as a part of the Direct Doctorate in Computer Science.

My research lies at the intersection of computer vision, machine learning, and computer graphics. I am particularly interested in realistic reconstruction of the 3D world around us and understanding how we, as humans, interact with the environment.

Publications


AuthorsMarko MihajlovicShunsuke SaitoAayush BansalMichael Zollhoefer, and  Siyu Tang

COAP is a novel neural implicit representation for articulated human bodies that provides an efficient mechanism for modeling self-contacts and interactions with 3D environments.

AuthorsShaofei WangMarko MihajlovicQianli MaAndreas Geiger, and  Siyu Tang

MetaAvatar is meta-learned model that represents generalizable and controllable neural signed distance fields (SDFs) for clothed humans. It can be fast fine-tuned to represent unseen subjects given as few as 8 monocular depth images.

 

AuthorsMarko MihajlovicYan ZhangMichael J. Black, and  Siyu Tang

LEAP is a neural network architecture for representing volumetric animatable human bodies. It follows traditional human body modeling techniques and leverages a statistical human prior to generalize to unseen humans.

AuthorsMarko MihajlovicSilvan WederMarc Pollefeys, and  Martin R. Oswald

DeepSurfels is a novel 3D representation for geometry and appearance information that combines planar surface primitives with voxel grid representation for improved scalability and rendering quality.