DAD-3DHeads: Dense 3D Head Alignment and FLAME Model Annotations

DAD-3DHeads provides dense 3D annotations for head alignment and reconstruction from single images, published by PinataFarms for CVPR 2022. The data includes FLAME model parameters and 3D landmark coordinates for 3D Morphable Model (3DMM) fitting. It was developed to address the lack of diverse head poses in existing 2D landmark datasets.

Use Cases

• 3D head reconstruction using FLAME model coefficients
• Head pose estimation from single-view images
• Face reenactment using first-order motion models

Strengths

• Peer-reviewed at CVPR 2022
• Uses FLAME 3D head model for dense geometry
• Supports 3DMM fitting tasks

Limitations

• Unknown total record count in provided metadata
• Potential for label noise if annotations are semi-automated
• Geographic diversity metrics are not provided

Provenance

Source

PinataFarms, CVPR 2022

Collection Method

Annotated

Freshness

Last updated January 2026.