wonjongg / stylecarigan

Caricature Generation via StyleGAN Feature Map Modulation

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Run with an API
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Run time and cost

This model costs approximately $0.13 to run on Replicate, or 7 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 10 minutes. The predict time for this model varies significantly based on the inputs.

Readme

StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulation

This repository contains the official PyTorch implementation of the following paper:

StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulation
Wonjong Jang, Gwangjin Ju, Yucheol Jung, Jiaolong Yang, Xin Tong, Seungyong Lee, SIGGRAPH 2021

It inverts latent codes from input photos and generates caricatures from latent codes.

Citation

If you find this code useful, please consider citing:

@article{Jang2021StyleCari,
  author    = {Wonjong Jang and Gwangjin Ju and Yucheol Jung and Jiaolong Yang and Xin Tong and Seungyong Lee},
  title     = {StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulation},
  booktitle = {ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH)},
  publisher = {ACM},
  volume = {40},
  number = {4},
  year = {2021}
}

Contact

You can have contact with wonjong@postech.ac.kr or ycjung@postech.ac.kr