Neural Crossbreed: Neural Based Image Metamorphosis

2 Sep 2020 Sanghun Park Kwanggyoon Seo Junyong Noh

We propose Neural Crossbreed, a feed-forward neural network that can learn a semantic change of input images in a latent space to create the morphing effect. Because the network learns a semantic change, a sequence of meaningful intermediate images can be generated without requiring the user to specify explicit correspondences... (read more)

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