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#SYNTHESIA 10.1 LONG CODE MOVIE#
And the movie industry over the decades has made successive progress in order to make it easier for editors, for artists to mitigate the effort there. So, when you’re having an actor that has a stunt double or something like this, you have to virtually replace, edit the faces, edit the actors. A lot of directions of this research actually comes from computer graphics from the movie industry. Maybe walk us from an AI perspective, how does that work? What is this based on? So, this is at the intersection of voice and computer vision and all those things. The whole idea here is that the technology’s able… you type in something, and then you create those avatars, which for now are based on real-life actors, but you have the ability through AI to make them say things in a bunch of different languages with expression and all those things. And to give everybody context, we are going to jump into a video that’s going to give a nice preview about what Synthesia is all about. Welcome, Victor and Matthias from Synthesia. TRANSCRIPT (edited for clarity and brevity) (A s always, Data Driven NYC is a team effort – many thanks to my FirstMark colleagues Jack Cohen and Katie Chiou for co-organizing, Diego Guttierez for the video work and to Karissa Domondon for the transcript!) Use cases for synthetic video in the enterpriseīelow is the video and below that, the transcript.The rise of Generative Adversarial Networks (GANs) in AI.
#SYNTHESIA 10.1 LONG CODE SERIES#
Powered by anything from GANs to GPT-3, a new generation of tools and platforms enables the creation of highly customizable content at scale – whether text, images, audio or video – opening up a broad range of consumer and enterprise use cases.Īt FirstMark, we recently announced that we had led the Series A in Synthesia, a startup providing impressive AI synthetic video generation capabilities to both creators and large enterprises.Īs a follow up to our investment announcement, we had the pleasure of hosting two of Synthesia’s co-founders, Victor Riparbelli (CEO) and Matthias Niessner (co-founder and a Professor of Computer Vision at Technical University of Munich). One of the most exciting emerging areas for AI is content generation.