Meograph creates lifelike 3D avatars from single-camera 2D video using an AI-driven pipeline. Their technology accurately captures microexpressions and facial movements, enabling developers to integrate expressive digital personas into AR, VR, and gaming applications.
Funding
$875K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Creating realistic 3D avatars from standard 2D video is computationally intensive and often fails to capture the nuanced microexpressions that define individual identity. This limits the fidelity of digital representations in immersive environments like AR, VR, and gaming, hindering authentic user presence.
Solution
Meograph develops a proprietary AI-driven pipeline that reconstructs high-fidelity 3D avatars from single-camera 2D video input. The system analyzes facial geometry and dynamic motion to generate avatars that accurately replicate unique microexpressions and subtle facial movements. This technology enables the seamless integration of lifelike digital personas into AR, VR, and gaming applications, leveraging existing consumer hardware. Developers can integrate these avatars into their projects via an SDK, enhancing user immersion and social presence within virtual worlds.
Target Audience
Target customers include game developers, AR/VR content creators, and metaverse platform providers seeking to integrate realistic, expressive 3D avatars into their applications.
Features
- AI-powered 2D to 3D avatar reconstruction from single-camera video streams
- Microexpression capture and replication for enhanced avatar realism
- Real-time avatar generation for interactive applications
- Unreal Engine SDK plugin for integration into game development workflows
- Future support planned for Unity engine integration