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10 years of news and resources for members of the IEEE Signal Processing Society
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.
|Call for Nominations: Chair, Women in Signal Processing Committee and Chair, Young Professionals Committee||10 July 2020|
|ALASKA 2 Steganalysis Challenge is Open||13 July 2020|
|Nominations Open for 2020 SPS Awards||1 September 2020|
|Call for Nominations: SPS Chapter of the Year Award||15 October 2020|
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