“CreativeAI: Deep Learning for Computer Graphics” by Mitra, Kokkinos, Guerrero, Thuerey, Kim, et al. …
Conference:
Type(s):
Entry Number: 08
Title:
- CreativeAI: Deep Learning for Computer Graphics
Course Organizer(s):
Presenter(s)/Author(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
