David Mandl

David Mandl is a PhD researcher at the Institute of Computer Graphics and Algorithms (ICG) at Graz University of Technology. He is a member of Team Plopski, focusing on 3D registration methods, shape deformation, and applications in Virtual and Augmented Reality (VR/AR). His work includes projects like droneSpace and research on diminished reality, scene retargeting, and SLAM-based systems.

Education:

• MSc in Computer Science (2016), Graz University of Technology

Research Interests: David’s research spans Diminished Reality on mobile devices, retargeting of animations for AR, registration in SLAM systems, and shape deformation techniques. His contributions bridge computer vision and interactive systems, with applications in real-time rendering and mixed reality environments.

Publications Trends: His work emphasizes cutting-edge techniques in AR/VR, including neural rendering (e.g., Neural Bokeh) and light probe learning for mixed reality illumination. Recent contributions also address video tutorial retargeting for AR applications.

Labs/Teams: Active in the ICG’s Virtual Reality and Medical Image Processing research groups, contributing to projects like droneSpace and collaborative efforts with industry partners.