ZM-Net: Real-time Zero-shot Image Manipulation Network

@article{Wang2017ZMNetRZ,
  title={ZM-Net: Real-time Zero-shot Image Manipulation Network},
  author={Hao Wang and Xiaodan Liang and Hao Zhang and Dit-Yan Yeung and Eric P. Xing},
  journal={CoRR},
  year={2017},
  volume={abs/1703.07255}
}
Many problems in image processing and computer vision (e.g. colorization, style transfer) can be posed as “manipulating” an input image into a corresponding output image given a user-specified guiding signal. A holy-grail solution towards generic image manipulation should be able to efficiently alter an input image with any personalized signals (even signals unseen during training), such as diverse paintings and arbitrary descriptive attributes. However, existing methods are either inefficient… CONTINUE READING
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