One Shot Audio to Animated Video Generation

We present a novel approach for generating animated videos from single images using audio as the driving signal. Our method allows for the creation of realistic talking head animations by combining a single source image with an audio input. This work bridges the gap between audio processing and computer animation, offering applications in virtual avatars, content creation, and human-computer interaction.

The system employs deep learning techniques to analyze speech patterns and facial movements, translating audio features into natural-looking animations. Our approach requires only one shot (single image) of the target subject, making it highly practical for real-world applications where multiple images or video data might not be available.

Key contributions:

• Single-image animation synthesis driven by audio input
• End-to-end deep learning framework for audio-visual mapping
• Real-time capable animation generation
• Preservation of identity and facial features from source image