VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Single portrait photo + speech audio = hyper-realistic talking face video with precise lip-audio sync, lifelike facial behavior, and naturalistic head movements
VASA-1 presents a system for generating lifelike audio-driven talking faces in real-time. The system consists of three main components: an audio-driven face animation model, a neural network-based audio-to-landmark converter, and a real-time face renderer. The audio-driven face animation model is trained on a large dataset of audio and facial motion capture data to learn the relationship between audio features and facial movements. The model generates realistic facial animations based on input audio features.
The audio-to-landmark converter neural network takes audio features as input and predicts facial landmarks that correspond to the audio. These landmarks are then used by the face renderer to generate a lifelike talking face in real-time. The face renderer uses a combination of 3D face models and texture mapping to create a realistic and expressive face that synchronizes with the input audio. The system is designed to be efficient and capable of running in real-time on standard hardware.
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