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Machine Learning in Cinema #MachineLearning #ArtificialIntelligence #SpecialEffects #Oscars @wired @kbvfx

From: https://www.youtube.com/watch?v=sN5LYwrVMW0 – rendering facial features of digital characters.

 

Impressive special effects are a hallmark of contemporary blockbusters. This year’s Visual Effects nominees at the Oscars were no exception.

In case you missed it, here are this year’s nominees for Best Visual Effects: Avengers: Endgame, The Lion King, Star Wars: The Rise of Skywalker, The Irishman, and 1917.

Although we already know the outcome, there are still a few surprises to be revealed about these amazing films. Specifically, the techniques that bring these movies to life! Kevin Baillie goes over some of the hottest visual effects techniques in the video “VFX Artist Breaks Down the Best Visual Effects Oscars Nominees“. Baillie walks through the advanced CGI, VR, and machine learning techniques that make some of your favorite characters come to life. Of note, Avengers: Endgame supervillain Thanos and the Hulk get a lot of their facial expressions from AI. This is extremely important because that structure gives the character’s depth and emotion that is realistic and relatable. A lot of the amazing work to augment these characters was done by Digital Domain’s Masquerade AI.

If you’d like to learn more check out some of these other great videos discussing cinematic tricks of the trade!

 

 

Written by Rebecca Minich, Product Analyst, Data Science at Google. Opinions expressed are solely my own and do not express the views or opinions of my employer.


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