Corpus ID: 58004733

RNN-based Generative Model for Fine-Grained Sketching

@article{Jenal2019RNNbasedGM,
  title={RNN-based Generative Model for Fine-Grained Sketching},
  author={Andrin Jenal and Nikolay Savinov and Torsten Sattler and Gaurav Chaurasia},
  journal={ArXiv},
  year={2019},
  volume={abs/1901.03991}
}
  • Andrin Jenal, Nikolay Savinov, +1 author Gaurav Chaurasia
  • Published 2019
  • Computer Science
  • ArXiv
  • Deep generative models have shown great promise when it comes to synthesising novel images. While they can generate images that look convincing on a higher-level, generating fine-grained details is still a challenge. In order to foster research on more powerful generative approaches, this paper proposes a novel task: generative modelling of 2D tree skeletons. Trees are an interesting shape class because they exhibit complexity and variations that are well-suited to measure the ability of a… CONTINUE READING

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