Attribute2Image: Conditional Image Generation from Visual Attributes

  title={Attribute2Image: Conditional Image Generation from Visual Attributes},
  author={Xinchen Yan and Jimei Yang and Kihyuk Sohn and Honglak Lee},
This paper investigates a novel problem of generating images from visual attributes. We model the image as a composite of foreground and background and develop a layered generative model with disentangled latent variables that can be learned end-to-end using a variational auto-encoder. We experiment with natural images of faces and birds and demonstrate that the proposed models are capable of generating realistic and diverse samples with disentangled latent representations. We use a general… CONTINUE READING
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