PRZEMYSŁAW SPUREK: Hypernetwork Approach to Generating 3D Objects

Recording of a lecture by Przemysław Spurek “Hypernetwork Approach to Generating 3D objects.” The seminar took place on October 17, 2023 at IDEAS NCBR in Warsaw.
Abstract:
Recently, generative models for 3D objects have gained much popularity in virtual (VR) and augmented reality (AR) applications. Training such models using standard 3D representations, like voxels or point clouds, is challenging and requires complex tools for proper color rendering. In order to overcome this limitation, Neural Radiance Fields (NeRFs) offer a state-of-the-art quality in synthesizing novel views of complex 3D scenes from a small subset of 2D images.
In the presentation, generative models which use hypernetworks paradigm to produce 3D objects represented by NeRF will be described. The advantage of the models over existing approaches is that it produces a dedicated NeRF representation for the object without sharing some global parameters of the rendering component.
Bio:
Przemysław Spurek received the master’s degree in mathematics and the PhD degree in computer science from the Jagiellonian University, Krakow, Poland, in 2009 and 2014, respectively. He is currently an assistant professor with the Institute of Computer Science, Jagiellonian University. He was the co-author of a variable number of research papers published in significant journals and presented on the top ML conferences including NeurIPS, ICML, and IROS. His research interests include deep learning, especially generative models, and meta learning.
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