“CreativeAI: Deep Learning for Computer Graphics” by Mitra, Kokkinos, Guerrero, Thuerey, Kim, et al. …

  • ©Niloy J. Mitra, Iasonas Kokkinos, Paul Guerrero, Nils Thuerey, Vladimir Kim, and Leonidas (Leo) Guibas

Conference:


Entry Number: 08

Title:

    CreativeAI: Deep Learning for Computer Graphics

Course Organizer(s):



Presenter(s):



Abstract:


    Description
    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, often 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, often requiring application-specific learning architectures. 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 course gives an organized overview of core theory, practice, and graphics-related applications of deep learning.


Additional Information:


    Gaming & Interactive
    New Technologies
    Adaptive Technology


ACM Digital Library Publication:



Type: