No Priors: Artificial Intelligence | Technology | Startups

Can AI replace the camera? with Joshua Xu from HeyGen

Jun 20, 2024

27:26

Snipd AI

Joshua Xu, Co-founder and CEO of HeyGen, discusses how his team is using AI to streamline video creation by incorporating language, video, and voice models. They cover the commercial applications of AI videos, safeguarding against deep fakes, and the challenges in building the model. HeyGen aims to revolutionize visual storytelling by generating personalized avatars, b-roll, and dialogue.

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Quick takeaways

HeyGen uses AI to create personalized videos with avatars and dialogue.

The HeyGen team focuses on safeguarding against deep fakes and enhancing video creation with AI technology.

Deep dives

Origin and Mission of HeeJen

HeeJen, a company co-founded by Joshua, aimed to revolutionize visual storytelling by leveraging AI technology to create content. The idea stemmed from Joshua's experience at Snapchat, where AI enhanced the camera experience. HeeJen's mission is to make visual storytelling accessible to all by replacing traditional cameras with AI-generated content.

Revolutionizing Video Production with Avatars

03:51

Real-Time Technology Advancement in Video Avatars

01:26

Quality, Control, and Consistency in Video Creation

01:47

Intro

3min

Revolutionizing Video Production with AI Avatars and Text

11min

Exploring AI-generated content creation and safety measures

4min

AI Technology for Personalized Video Content Creation

6min

Challenges of Integrating Aesthetics into AI Models for Video Generation

3min

AI video generation models still have a long way to go when it comes to making compelling and complex videos but the HeyGen team are well on their way to streamlining the video creation process by using a combination of language, video, and voice models to create videos featuring personalized avatars, b-roll, and dialogue. This week on No Priors, Joshua Xu the co-founder and CEO of HeyGen, joins Sarah and Elad to discuss how the HeyGen team broke down the elements of a video and built or found models to use for each one, the commercial applications for these AI videos, and how they’re safeguarding against deep fakes.

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Show Notes:

(0:00) Introduction

(3:08) Applications of AI content creation

(5:49) Best use cases for Hey Gen

(7:34) Building for quality in AI video generation

(11:17) The models powering HeyGen

(14:49) Research approach

(16:39) Safeguarding against deep fakes

(18:31) How AI video generation will change video creation

(24:02) Challenges in building the model

(26:29) HeyGen team and company

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