Compositional GAN: Learning Conditional Image Composition

arXiv: Computer Vision and Pattern Recognition, Volume abs/1807.07560, 2018.

Cited by: 27|Views94
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Abstract:

Generative Adversarial Networks (GANs) can produce images of surprising complexity and realism, but are generally modeled to sample from a single latent source ignoring the explicit spatial interaction between multiple entities that could be present in a scene. Capturing such complex interactions between different objects in the world, in...More

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