The basic concept is to train a FNN/MLP on vertex data of 3D heads so that it can then re-produce random 3D heads.
This dataset uses the thispersondoesnotexist_to_triposr_6748_3D_Heads dataset as a foundation.
The heads dataset was collecting using the scraper Dataset_Scraper.7z based on TripoSR which converts the 2D images from ThisPersonDoesNotExist into 3D meshes. (using this marching cubes improvement by thatname/zephyr)
Vertex Normals need to be generated before we can… See the full description on the dataset page:
https://huggingface.co/datasets/tfnn/HeadsNet.
