The ideal faces were made of the edited facial features (eyes, nose, and mouth) with average face data.

Facial features from 200 Meitu users to generate the ideal virtual faces.

Eyes are the place users modify the most, and also with the most available functions. Bigger and brighter eyes are the prominent fashion of users.

Users tend to choose lips with clear outlines, perfect shapes, and plump lips. Plump pink lips are a significant characteristic of young people.

The narrower and shorter nose makes the users look younger with a touch of the exotic in their appearance.

By analyzing people’s image information before and after editing through software, we can summarize people’s ideal virtual body external image characteristics.

Bigger Eyes - With most available functions, bigger and brighter eyes are the main fashion of Meitu users.

Narrower Nose - Narrower and shorter nose makes the users look younger with a touch of the exotic in their appearance.

Perfect Lips - Users prefer clear outlines, perfect shapes and plump lips, which are well welcome by young people.

Healthy Makeup - Users are looking for a bright, white but true-textured complexion and healthy-looking makeup.

Distribution - After editing, the facial features of the 200 pictures are highly overlapping. Meitu makes their face distribution more standard.

Improve figure - The retouched face has a narrower nose and narrower cheeks and a smaller face implies a slim figure and a better figure ratio.

Images published on Chinese social media, reflecting the phenomenon of aesthetic convergence.

Using editing tools to beautify photos becomes fashion to social media users. Editing softwares are not only makes "remodel themselves" more convenient, but also affecting people’s asthetic sense. By the magic of editing apps and filters, everyone can be the beauty in virtual reality.

Comments published on social media, reflecting the phenomenon of aesthetic convergence.

A. The similar beauty can be quickly copied and communicate.
B. Algorithm provides convenient and quick functions to make people beautiful in their photos.
C. With the influence of the market and media, users have gradually become dependent on facial editing.
D. Automatic face edit according to average face and peofessional algorithm creates similar faces.

The enhanced photos from social media train editing tool’s machine learning algorithms on how humans view themselves at their most beautiful, which then feedback to automate opportunities to beautify a photo. The algorithm will automatically learn users' favor and recommend changes according to their face.