This table shows the scores of different approaches of Attribute Manipulation. As we can see, the CNN with Attention Mechanism has yielded the best results.

Johns Hopkins University

This manipulation, also known as face editing or face retouching, consists of modifying some attributes of the face such as the colour of the hair or the skin, the gender, the age, adding glasses, etc. Useful algorithms of achieving Attribute Manipulation are usually carried out through GAN such as Invertible Conditional GAN, encoder-decoder architecture, and starGAN. 

One example of this type of manipulation is the popular FaceApp mobile application. Consumers could use this technology to try on a broad range of products such as cosmetics and makeup, glasses, or hairstyles in a virtual environment.

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