Interview with Marc Habermann – #CVPR2020 award winner

Marc Habermann received an Honorable Mention in the Best Student Paper category at CVPR 2020 for work with Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll and Christian Theobalt on "DeepCap: Monocular Human Performance Capture Using Weak Supervision". Here, Marc tells us more about their research, the main results of their paper, and plans for further improvements to their model. The topic of our work is monocular human performance capture which focuses on capturing the pose as well as the deforming 3D surface of a person from a single RGB video. In a daily life scenario, one can then record a video of a person just using his smartphone and DeepCap can recover the 3D geometry of the person who was recorded. It is worth noting that the monocular setting makes it especially challenging due to the inherent depth ambiguity and the large amount of occlusions.