项目作者: Ha0Tang

项目描述 :
[FG 2019 Oral] Attribute-Guided Sketch Generation
高级语言: MATLAB
项目地址: git://github.com/Ha0Tang/ASGAN.git
创建时间: 2019-02-10T20:27:49Z
项目社区:https://github.com/Ha0Tang/ASGAN

开源协议:

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License CC BY-NC-SA 4.0
Python 3.6
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ASGAN

Feature-Level Similarity Score (FLSS) and the proposed AFPS dataset for “Attribute-Guided Sketch Generation (FG 19, Oral)“ by Hao Tang, Xinya Chen, Wei Wang, Dan Xu, Jason J. Corso, Nicu Sebe, Yan Yan.

FLSS Metric

Prerequisites

  • Matlab
  • VLFeat (download the latest binary package)

AFPS dataset

For CUFS, CUFSF, EPRIP or PRIPVSGC, the datasets must be downloaded beforehand. Please download them on the respective webpages. Please cite their papers if you use the data.

You can download the corresponding attributed version using the following script.

  1. git clone https://github.com/Ha0Tang/ASGAN
  2. cd ASGAN/
  3. bash ./AFPS/download_asgan_dataset.sh dataset_name
  • CUFS: 94 trianing, 94 testing.
  • CUFSF: 562 training, 561 testing.
  • EPRIP: 70 training, 16 testing.
  • PRIPVSGC: 70 training, 16 testing.

Citation

If you use this code or dataset for your research, please cite our paper.

  1. @inproceedings{tang2019attribute,
  2. title={Attribute-Guided Sketch Generation},
  3. author={Tang, Hao and Chen, Xinya and Wang, Wei and Xu, Dan and Corso, Jason J and Sebe, Nicu and Yan, Yan},
  4. booktitle={FG},
  5. year={2019}
  6. }

Acknowledgments

This code borrows heavily from VLFeat. We acknowledge the National Institute of Standards and Technology Grant 60NANB17D191 for
funding this research. We also acknowledge the gift donation from Cisco, Inc for this research.

SelectionGAN

Contributions

If you have any questions/comments/bug reports, feel free to open a github issue or pull a request or e-mail to the author Hao Tang (bjdxtanghao@gmail.com"">bjdxtanghao@gmail.com).