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Are you referring to using Deep3D to regress the latent code z of the texture decoder? This is possible.
Using Deep3D, a self-supervised training strategy, the more high-quality training data, the better.
According to the experimental details in the Deep3D paper, the number of face images in the training set is ~260K.
thanks your job!
Can this work train a model to do UV mapping inference? If possible, how many images are needed as a training set
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