LOGML - Niloy Mitra: Deep 3D Generative Modeling

Deep learning has taken the Computer Graphics world by storm. While remarkable progress has been reported in the context of supervised learning, the state of unsupervised learning, in contrast, remains quite primitive. In this talk, we will discuss recent advances where we have combined knowledge from traditional computer graphics and image formation models to enable deep generative modeling workflows. We will describe how we have combined modeling and rendering, in the unsupervised setting, to enable controllable and realistic image and animation production. The work is done in collaboration with various students and research colleagues.

Niloy Mitra is a Professor of Geometry Processing in the Department of Computer Science, University College London (UCL). He received his MS and PhD in Electrical Engineering from Stanford University under the guidance of Leonidas Guibas and Marc Levoy, and was a postdoctoral scholar with Helmut Pottmann at Technical University Vienna. His research interests include shape analysis, computational design and fabrication, and geometry processing. For details, please visit the SmartGeometryProcessing page.
Niloy received the 2013 ACM Siggraph Significant New Researcher Award for "his outstanding work in discovery and use of structure and function in 3D objects" (UCL press release), the BCS Roger Needham award (BCS press release) in 2015, and the Eurographics Outstanding Technical Contributions Award in 2019. He received the ERC Starting Grant on SmartGeometry in 2013. His work has twice been featured as research highlights in the Communications of the ACM, twice been selected by ACM Siggraph/Siggraph Asia (both in 2017) for press release as research highlight. Besides research, Niloy is an active DIYer and loves reading, bouldering, and cooking.

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