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This is 3,333 pictures of faces with their 3D counterparts for training a neural network that can turn pictures of faces into 3D meshes. Meshes are [Vertex Colored](https://github.com/VertexColor), meshed point clouds.
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- [FaceTo3D.7z](https://huggingface.co/datasets/tfnn/FaceTo3D/resolve/main/FaceTo3D.7z?download=true) _(3,333 JPG of Faces and 3D [PLY](https://paulbourke.net/dataformats/ply)'s of the same Faces)_
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- [FaceTo3D_Generator.7z](https://huggingface.co/datasets/tfnn/FaceTo3D/resolve/main/FaceTo3D_Generator.7z?download=true) _(The script used to generate the dataset)_
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This is 3,333 pictures of faces with their 3D counterparts for training a neural network that can turn pictures of faces into 3D meshes. Meshes are [Vertex Colored](https://github.com/VertexColor), meshed point clouds.
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Faces generated with [StyleGAN2](https://github.com/NVlabs/stylegan2) using [ThisPersonDoesNotExist.com](https://ThisPersonDoesNotExist.com) and then turned into 3D heads using [TripoSR](https://github.com/VAST-AI-Research/TripoSR).
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- [FaceTo3D.7z](https://huggingface.co/datasets/tfnn/FaceTo3D/resolve/main/FaceTo3D.7z?download=true) _(3,333 JPG of Faces and 3D [PLY](https://paulbourke.net/dataformats/ply)'s of the same Faces)_
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- [FaceTo3D_Generator.7z](https://huggingface.co/datasets/tfnn/FaceTo3D/resolve/main/FaceTo3D_Generator.7z?download=true) _(The script used to generate the dataset)_
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