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[CVPR 2017] Awesome Typography: Statistics-Based Text Effects Transfer

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Text-Effects-Transfer

This is a Matlab implementation of the paper.

Shuai Yang, Jiaying Liu, Zhouhui Lian and Zongming Guo, Awesome Typography: Statistics-Based Text Effects Transfer, Accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

This code builds upon the PatchMatch algorithm (https://github.com/jbhuang0604/StructCompletion) implemented by Jia-Bin Huang.

It is provided for educational/research purpose only. Please consider citing our paper if you find the software useful for your work.

To run the code, please use the main function text_stylization.m.

Example:
  textEffectFinal = text_stylization('flame', 'shu', 'huo', 'imgs/', optS); 

External codes

  1. Flann: for fast approximate nearest neighbor searching.

    http://www.cs.ubc.ca/research/flann/

  2. mirt2D_mexinterp: for fast 2D linear interpolation.

    http://www.mathworks.com/matlabcentral/fileexchange/24183-2d-interpolation/content/mirt2D_mexinterp/mirt2D_mexinterp.m

Contact

Shuai Yang

williamyang@pku.edu.cn

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[CVPR 2017] Awesome Typography: Statistics-Based Text Effects Transfer

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