Corpus ID: 203593723

DSRGAN: Explicitly Learning Disentangled Representation of Underlying Structure and Rendering for Image Generation without Tuple Supervision

@article{Hao2019DSRGANEL,
  title={DSRGAN: Explicitly Learning Disentangled Representation of Underlying Structure and Rendering for Image Generation without Tuple Supervision},
  author={Guang-Yuan Hao and Hong-Xing Yu and Wei-Shi Zheng},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.13501}
}
We focus on explicitly learning disentangled representation for natural image generation, where the underlying spatial structure and the rendering on the structure can be independently controlled respectively, yet using no tuple supervision. The setting is significant since tuple supervision is costly and sometimes even unavailable. However, the task is highly unconstrained and thus ill-posed. To address this problem, we propose to introduce an auxiliary domain which shares a common underlying… Expand

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