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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.
|Series to Highlight Women in Signal Processing: Sheila S. Hemami||1 November 2019|
|Inactive Chapters||1 November 2019|
|Enhancements added to OU Analytics - Geographic Map||1 November 2019|
|Redesigned OU Monthly Statistics Now Available||1 November 2019|
|OU Analytics - Latest Enhancement||1 November 2019|
|OU Analytics - A Valuable Resource for Volunteers||1 November 2019|
|Call for Nominations: Fellow Evaluation Committee - Extended to November 22||22 November 2019|
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