AI for Media and Entertainment

In this webinar, visual effects and digital production company Digital Domain will share their experience developing AI-based toolsets for applying deep learning to their content creation pipeline. AI is no longer just a research project but also a valuable technology that can accelerate labor-intensive tasks, giving time and control back to artists.

We’ll start with a brief overview of deep learning and dive into examples of convolutional neural networks (CNNs), generative adversarial networks (GANS), and autoencoders. These examples will include flavors of neural networks useful for everything from face swapping and image denoising to character locomotion, facial animation, and texture creation.

By watching this webinar replay, you will:
  1. Get a basic understanding of how deep learning works
  2. Learn about research that can be applied to content creation
  3. See examples of deep learning–based tools that improve artist efficiency
  4. Hear about Digital Domain’s experience developing AI-based toolsets

Presented By
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Doug Roble
Senior Director of Software R&D, Digital Domain

Doug is the senior director of software research and development at Digital Domain. He’s been working at Digital Domain for 25 years. Along the way, he’s written a computer vision toolkit that won a Scientific and Technology (Sci-Tech) Academy Award in 1998, a motion capture editing suite, a couple of fluid simulation packages (leading to another Sci-Tech Award in 2007), and much more. He was the editor-in-chief of the Journal of Graphics Tools from 2006 to 2011), is currently the chair of the Academy of Motion Picture Arts and Science’s Sci-Tech Awards committee, and is a member of the Academy’s Sci-Tech Council. This all started with a PhD in computer science from Ohio State University in 1992.
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Rick Champagne
Global Media and Entertainment Strategy and Marketing, NVIDIA

Rick leads global industry strategy and marketing for media and entertainment at NVIDIA. Representing film, television, advertising, and broadcast, Rick maintains close ties with industry and is a member of the Visual Effects Society, a board member of the Advanced Imaging Society, a governor of the VR Society, and a member of the Hollywood Professional Association, which is part of the Society of Motion Picture and Television Engineers (SMPTE). Rick has a long history of industry management for media and entertainment products and solutions, including the Autodesk 3ds Max and Maya Entertainment Creation Suites, Softimage, Mudbox, and HP Z Workstations and DreamColor displays.
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Rick Grandy
Senior Solutions Architect, Professional Visualization, NVIDIA

Rick is senior solutions architect on the professional visualization team at NVIDIA, focusing on deep learning and graphics for media and entertainment. His career has been on the leading edge of visual effects technology for over two decades. Rick’s work in digital character development spans from the first fully simulated skin/muscle system used in The Mummy, to furry creatures in The Lion, The Witch and the Wardrobe, and to shape-shifting robot systems for Transformers 2. His development on studio pipelines includes previsualization systems for Dawn of the Planet of the Apes and The Jungle Book, as well as post-production workflows for Star Wars: The Force Awakens, Ghostbusters, and Patriots Day. Rick has worked on over 30 motion pictures, multiple virtual reality and television projects, and numerous commercials.
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Gary Burnett
Solutions Architect, Professional Visualization, NVIDIA

Gary is a solutions architect at NVIDIA on the professional visualization team working in media and entertainment. He joined NVIDIA in 2017 after graduating from MIT with degrees in computer science and neuroscience. Gary’s role involves working directly with customers to create applications that leverage deep learning for visual effects, including image processing, character locomotion, and facial inferencing.