• DOI:10.1609/aaai.v33i01.33013510
Corpus ID: 51953979

Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation

@inproceedings{Fan2019ControllableIT,
  title={Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation},
  author={Lijie Fan and Wen-bing Huang and Chuang Gan and J. Huang and Boqing Gong},
  booktitle={AAAI},
  year={2019}
}

Lijie Fan, Wen-bing Huang, +2 authors Boqing Gong

Published in AAAI 2019

Computer Science

The recent advances in deep learning have made it possible to generate photo-realistic images by using neural networks and even to extrapolate video frames from an input video clip. [...] Key Method We propose a user-controllable approach so as to generate video clips of various lengths from a single face image. The lengths and types of the expressions are controlled by users.Expand Abstract

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