Google LLC (20240320892). Photorealistic Talking Faces from Audio simplified abstract
Contents
Photorealistic Talking Faces from Audio
Organization Name
Inventor(s)
Vivek Kwatra of Saratoga CA (US)
Christian Frueh of Mountain View CA (US)
Avisek Lahiri of West Bengal (IN)
John Lewis of Mountain View CA (US)
Photorealistic Talking Faces from Audio - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240320892 titled 'Photorealistic Talking Faces from Audio
- Simplified Explanation:**
The patent application describes a framework for creating realistic 3D talking faces based solely on audio input. It also includes methods for integrating these generated faces into existing videos or virtual environments by separating face components into different elements.
- Key Features and Innovation:**
- Generation of photorealistic 3D talking faces from audio input
- Decomposition of faces into normalized components for separate processing
- Auto-regressive approach for stable temporal dynamics
- Inclusion of face illumination through 3D texture normalization
- Potential Applications:**
This technology could be used in virtual reality applications, video editing software, gaming, virtual assistants, and more.
- Problems Solved:**
This technology addresses the challenge of creating realistic 3D faces based on audio input alone, as well as the integration of these faces into existing visual content.
- Benefits:**
- Enhanced realism in virtual environments
- Simplified process for creating 3D talking faces
- Improved integration of generated faces into videos
- Commercial Applications:**
The technology could be utilized in industries such as entertainment, advertising, virtual events, and communication platforms to enhance user experiences and engagement.
- Questions about 3D Talking Faces:**
1. How does the framework ensure the generated faces are realistic and accurate representations of the audio input? 2. What are the potential limitations or challenges of integrating these generated faces into existing videos or virtual environments?
Original Abstract Submitted
provided is a framework for generating photorealistic 3d talking faces conditioned only on audio input. in addition, the present disclosure provides associated methods to insert generated faces into existing videos or virtual environments. we decompose faces from video into a normalized space that decouples 3d geometry, head pose, and texture. this allows separating the prediction problem into regressions over the 3d face shape and the corresponding 2d texture atlas. to stabilize temporal dynamics, we propose an auto-regressive approach that conditions the model on its previous visual state. we also capture face illumination in our model using audio-independent 3d texture normalization.
