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Researchers from The Chinese University of Hong Kong, Tencent, and Johns Hopkins University have developed a tool that automatically adds, removes, or modifies facial features of a person in an image. It is based on an end-to-end convolutional neural network that supports fast inference, edit-effect control, and quick partial-model update. In addition, this model learns from unpaired image sets with different attributes. As an example, it can add face hair to your picture, or make you look younger or older.
Courtesy of the researchers
The work has been accepted by the Conference on Computer Vision and Pattern Recognition (CVPR) 2018, which will be held in Salt Lake City, Utah from June 18-22.
The full paper is available at https://arxiv.org/pdf/1803.05576.pdf.
|Meet the 2021 Candidates: IEEE President-Elect||1 October 2021|
|Call for Nominations for Editor-in-Chief, Open Journal of Signal Processing||1 October 2021|
|Election of President-Elect, Regional Directors-at-Large and Members-at-Large||1 October 2021|
|Call for Nominations: SPS Chapter of the Year Award||15 October 2021|
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