Deep Convolutional Inverse Graphics Network — mentioned by TTPrograms

Thu, 14 Jun 2018 22:24:40 GMT

I'm surprised people are so blown away by this. It's a cool demonstration, but for this problem you have basically infinite training data. If you can find a latent space of faces this is hardly a stretch, since you already have a fantastic notion of locality in your data (by perturbing the camera). The interesting thing is generalization, which they show in figure 3B and is... ok, I guess. It's not that surprising compared to any of the other VAE stuff people have done (see the morphing scenes, 3D face illumination / rendering and furniture stuff from 2 years ago, for instance). It's also not…

Paper and discussion history. A mention is not an endorsement.

Deep Convolutional Inverse Graphics Network · HackerPapers discussions

Deep Convolutional Inverse Graphics Network — mentioned by TTPrograms