ANS-GDA For Face Photo-Sketch Synthesis

Example-based face sketch synthesis technology generally requires face photo-sketch images with face alignment and size normalize. To break through the limitation, we propose Anchored Neighborhoods Search(ANS) Based on Global Dictionary Atoms(GDA) for Face Photo-Sketch Synthesis.

If you use this code for your research, please cite our papers.

@inproceedings{
  title={Anchored Neighborhoods Search Based on Global Dictionary Atoms for Face Photo-Sketch Synthesis},
  author={Feng Liu，Ran Xu, Jieying Zheng, Qiuli Lin, Zongliang Gan},
  booktitle={The 11th International Conference on Digital Image Processing(ICDIP)},
  year={2019}
}

Paper

Feng Liu，Ran Xu, Jieying Zheng, Qiuli Lin, Zongliang Gan,Anchored Neighborhoods Search Based on Global Dictionary Atoms for Face Photo-Sketch Synthesis,The 11th International Conference on Digital Image Processing(ICDIP),2019.

Dataset

• CUHK Face Sketch Database (CUFS): Download from here.

  • AR
  • CUHK Students
  • XM2VTS

Result

For aligned face photos:

For the real-world photos:

Run

The main file is "./Code/photo2sketch.m".

For training, it reads the training photos and training sketch.

For testing, it reads the original face photos and outputs the synthesized sketches.

Developing and testing environment: MatLab R2018a.