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FaceScape

Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction

FaceScape

We present a large-scale detailed 3D face dataset, FaceScape, and propose a novel algorithm that is able to predict elaborate riggable 3D face models from a single image input. FaceScape dataset provides over 18K textured 3D faces, captured from 938 subjects and each with 20 specific expressions. The 3D models contain the pore-level facial geometry that is also processed to be topologically uniformed. These fine 3D facial models can be represented as a 3D morphable model for rough shapes and displacement maps for detailed geometry. The data have been released to public for non-commercial research purpose.

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Task
3D Reconstruction / Photogrammetry
Annotation Types
Semantic Segmentation
20
Items
938
Classes
18000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only