³ÉÈË´óƬ

Dr Golyanik’s talk focuses on several recent approaches for generative modelling and 3D reconstruction of non-rigid scenes from various conditioning signals and inputs, such as textual prompts, RGB images, or event streams. He also outlines promising directions for how the field could benefit from modern and upcoming quantum hardware. 

Vladislav Golyanik received a doctoral degree in informatics from the University of Kaiserslautern, Germany, in 2019 (advised by Didier Stricker). Before joining MPI for Informatics as a postdoctoral researcher, he was a visiting fellow at NVIDIA, San José, CA, USA, and the Institute of Robotics and Industrial Informatics, Barcelona, Spain. Vladislav is currently leading the 4D and Quantum Vision Research Group at MPI for Informatics (4dqv.mpi-inf.mpg.de). His research interests include 3D reconstruction and neural rendering of non-rigid scenes, 3D generative models and quantum algorithms for computer vision and graphics. He was a recipient of the WACV 2016 Best Paper Award, 3DV 2022 Best Student Paper Award, and the 2020 Yearly Dissertation Award of the German Association for Pattern Recognition (DAGM).