CreativeAI: Deep Learning for Computer Graphics

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Date: Tuesday, December 4th
Time: 2:15pm - 6:00pm
Venue: Hall D5 (5F, D Block)
Session Chair(s): Carol O'Sullivan, Trinity College, Dublin,


CreativeAI: Deep Learning for Computer Graphics

Abstract: In computer graphics, many traditional problems are now better handled by deep-learning based data-driven methods. In applications that operate on regular 2D domains, like image processing and computational photography, deep networks are state-of-the-art, beating dedicated hand-crafted methods by significant margins. More recently, other domains such as geometry processing, animation, video processing, and physical simulations have benefited from deep learning methods as well. The massive volume of research that has emerged in just a few years is often difficult to grasp for researchers new to this area. This tutorial gives an organized overview of core theory, practice, and graphics-related applications of deep learning.

Authors/Presenter(s): Niloy Mitra, University College London, United Kingdom
Niloy Mitra, University College London, United Kingdom
Iasonas Kokkinos, University College London, Facebook AI Research, United Kingdom
Paul Guerrero, University College London, United Kingdom
Nils Thuerey, Technical University of Munich, Germany
Tobias Ritschel, University College London, United Kingdom


 

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