[evrydayhustling]

Wow, so early for generative -- although I assume you were generating parameters that got mapped to mesh positions, rather than generating pixels?

I definitely remember that bias about neural nets, to the point of my first grad ML class having us recreate proofs that you should never need more than two hidden layers (one can pick up the thread at [1]). Of all the ideas clunking around in the AI toolbox at the time, I don't really have background on why people felt the need to kill NN with fire.

[1] https://en.wikipedia.org/wiki/Universal_approximation_theore...

[bsenftner]

It was annotated face images and 3D scans of heads trained to map one to the other. After a threshold in the size of the training data, good to great results from a single photo could be had to generate the mesh 3D positions, and then again to map the photo onto the mesh surface. Do that with multiple frames, and one is firmly in the Uncanny Valley.