NEUROSYNC Audio To Face Blendshape
| Property | Value |
|---|---|
| Author | AnimaVR |
| Parameters | 228M |
| License | Dual License (MIT for revenue <$1M, Commercial for >$1M) |
| Integration | Unreal Engine LiveLink |
What is NEUROSYNC_Audio_To_Face_Blendshape?
NEUROSYNC is a cutting-edge transformer-based model that converts audio input into realistic facial animations through blendshape coefficients. The model employs a seq2seq architecture to transform audio features into 61 distinct facial expression parameters, enabling real-time character animation in Unreal Engine.
Implementation Details
The model utilizes an encoder-decoder transformer architecture with 8 layers and 16 attention heads. It processes audio features through positional encodings and cross-attention mechanisms to generate precise facial animations. The latest version includes optimizations like half-precision inference and mixed precision training for improved performance.
- Advanced transformer architecture with 228M parameters
- Real-time processing capabilities via LiveLink integration
- Supports 61 blendshape coefficients for comprehensive facial animation
- Includes features for eye, jaw, mouth, brow, and cheek movements
Core Capabilities
- Real-time audio-to-face transformation
- Seamless Unreal Engine integration
- Support for both local API and cloud-based processing
- Comprehensive facial expression control including micro-movements
Frequently Asked Questions
Q: What makes this model unique?
The model combines state-of-the-art transformer architecture with practical real-time animation capabilities, offering both accuracy and speed for professional character animation. Its dual-license approach makes it accessible for both individual creators and large-scale commercial applications.
Q: What are the recommended use cases?
The model is ideal for real-time character animation in games, virtual production, live streaming, and interactive media. It's particularly well-suited for applications requiring seamless integration with Unreal Engine and those needing high-quality facial animation from audio input.
