Unsupervised Training for 3D Morphable Model Regression

CVPR, 2018.

Cited by: 131|Views47
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Abstract:

We present a method for training a regression network from image pixels to 3D morphable model coordinates using only unlabeled photographs. The training loss is based on features from a facial recognition network, computed on-the-fly by rendering the predicted faces with a differentiable renderer. To make training from features feasible a...More

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