Method partially based on the excellent work described in:
 Deng, Yu, et al. "Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2019.  Feng, Yao, et al. "Learning an animatable detailed 3D face model from in-the-wild images." ACM Transactions on Graphics (ToG) 40.4 (2021): 1-13.  Xu, Sicheng, et al. "Deep 3d portrait from a single image." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.  Sicheng Xu, Deep3DFaceRecon, (2021), GitHub Repository, https://github.com/sicxu/Deep3DFaceRecon_pytorch
Terms of Service
All images are compared against multiple databases of illegal images such that any match against this database will be reported to the appropriate authorities.
No warranty expressed or implied is provided as to the functioning of this service.
Attempting to process sexually explicit, violent, hateful or other objectionable material may result in a site-wide ban from this service.
All images are stored temporarily server-side insofar as to complete the image or video processing task.
When processing is complete, both the input and processed image are irretrievably destroyed.
When processing is complete, the resulting image or video is stored for (1) one hour before being irretrievably destroyed.