Deep Manifold Traversal: Changing Labels with Convolutional Features — mentioned by apstls

Fri, 10 Jun 2016 18:59:22 GMT

Recent research in deep manifold traversal may interest you [1]. This method uses deep neural networks to approximate the manifold of natural images, learns transformations that traverse the manifold from one image class to another (i.e. from images of young people to images of old people), and then allows you to transform any source image into a new, automatically-generated image by mapping it to the manifold and performing the transformation. So, for example, the paper's authors learn the transformation from images of young people to old people, and then are able to generate…

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Deep Manifold Traversal: Changing Labels with Convolutional Features — mentioned by apstls