create 3d-gltf face-mesh from image with mediapipe
Display animated 3D scenes using web technology
Create a dynamic 3D scene with random colorful knots
Generate 3D scenes with dynamic lighting and shapes
Play a 3D interactive card game with drag-and-drop functionality
Create a 3D model from an image in 10 seconds!
Run a web app for creating 3D models
Transform ideas into AR experiences with a 3D model
Explore Minnesota in a 3D VR environment
generate any 3d looking art in seconds.
MoGe live demo
Generate 3D procedural terrain with adjustable height, water level, and roughness
Generate 3D recursive polygons and math functions
MediaPipe Face Mesh 3D is a powerful tool designed to create detailed 3D facial meshes from 2D images. It leverages the MediaPipe framework to generate accurate 3D models of faces, which can be exported in formats like GLTF for use in various applications such as 3D modeling, animation, virtual reality (VR), and augmented reality (AR).
• Real-time 3D Face Reconstruction: Generate 3D face meshes in real-time from RGB images. • High Accuracy: Utilizes 468 facial landmarks to create precise 3D models. • Cross-Platform Support: Compatible with Android, iOS, web, and desktop applications. • Export Capabilities: Outputs 3D models in GLB and GLTF formats for seamless integration into 3D pipelines. • Customizable: Developers can modify parameters to suit specific use cases. • Lightweight and Efficient: Optimized for performance on mobile and edge devices.
What platforms does MediaPipe Face Mesh 3D support?
MediaPipe Face Mesh 3D is compatible with Android, iOS, web browsers, and desktop environments, making it versatile for cross-platform development.
Can MediaPipe Face Mesh 3D process video streams?
Yes, MediaPipe Face Mesh 3D can process video streams in real-time, enabling dynamic 3D face modeling for applications like AR filters or virtual try-on.
How accurate is the 3D face mesh generated?
The tool uses 468 facial landmarks to ensure high accuracy, providing detailed and realistic 3D face meshes even from single-view 2D images.