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by aaronsjackson 3205 days ago
One of the authors here. You are very right in saying that the there aren't many details. This limitation, we believe, is due to a lack of large, high quality training sets. The data we trained from was very smooth, which means our method is unable to pick out features such as wrinkles and dimples.
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What about the "Maybe try rendering an image of a 3d model of a face, then attempt to reconstruct it from the rendered image and measure the displacement from the original model." approach for generating high resolution training data?
That's actually a great idea. Because then you can get a diff between the outputted 3d and the actual 3d used to generate the images, as opposed to what I assume is just diffing the generated profile with a profile shot of the subject.