VASA-1: Lifelike Audio-Driven Talking Faces - Realtime DeepFake - Mind Blowing - Changes Everything
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time. TL;DR: single portrait photo + speech audio = hyper-realistic talking face video with precise lip-audio sync, lifelike facial behavior, and naturalistic head movements, generated in real time.
Abstract
Microsoft introduce VASA, a framework for generating lifelike talking faces of virtual characters with appealing visual affective skills (VAS), given a single static image and a speech audio clip. Microsoft's premiere model, VASA-1, is capable of not only producing lip movements that are exquisitely synchronized with the audio, but also capturing a large spectrum of facial nuances and natural head motions that contribute to the perception of authenticity and liveliness. The core innovations include a holistic facial dynamics and head movement generation model that works in a face latent space, and the development of such an expressive and disentangled face latent space using videos. Through extensive experiments including evaluation on a set of new metrics, Microsoft shows that Microsoft's method significantly outperforms previous methods along various dimensions comprehensively. Microsoft's method not only delivers high video quality with realistic facial and head dynamics but also supports the online generation of 512x512 videos at up to 40 FPS with negligible starting latency. It paves the way for real-time engagements with lifelike avatars that emulate human conversational behaviors.
Official Website : https://www.microsoft.com/en-us/resea...
Paper Link : https://arxiv.org/pdf/2404.10667.pdf
Risks and responsible AI considerations
Microsoft's research focuses on generating visual affective skills for virtual AI avatars, aiming for positive applications. It is not intended to create content that is used to mislead or deceive. However, like other related content generation techniques, it could still potentially be misused for impersonating humans. Microsoft is opposed to any behavior to create misleading or harmful contents of real persons, and are interested in applying Microsoft's technique for advancing forgery detection. Currently, the videos generated by this method still contain identifiable artifacts, and the numerical analysis shows that there's still a gap to achieve the authenticity of real videos.
While acknowledging the possibility of misuse, it's imperative to recognize the substantial positive potential of Microsoft's technique. The benefits – ranging from enhancing educational equity, improving accessibility for individuals with communication challenges, and offering companionship or therapeutic support to those in need – underscore the importance of Microsoft's research and other related explorations. Microsoft is dedicated to developing AI responsibly, with the goal of advancing human well-being.
Microsoft have no plans to release an online demo, API, product, additional implementation details, or any related offerings until Microsoft is certain that the technology will be used responsibly and in accordance with proper regulations.