Synthetic-Faces is a fully synthetic 3D face dataset designed to study identity preservation vs topology variation in geometric deep learning models.
The dataset was created as part of the WBES-FaceEmbedding project and is primarily intended for:
latent space analysis
topology invariance studies
metric learning on 3D facial geometry
evaluating robustness to remeshing, cropping, and noise
No real human data is included.
Direct… See the full description on the dataset page:
https://huggingface.co/datasets/Pampaj/Synthetic-Faces.
