In the past, before the advent of mobile phones, if people wanted to take photos, they had to go to photo studios. Because it was rare to take photos, they would put on their best clothes and carefully prepare themselves. Even if the photos they took were black and white, they would cherish them especially.

Later, the appearance of flip phones made taking photos a very daily thing. Although the screen was small, it could clearly take pictures of people and scenes, and the photos were no longer black and white, but turned into color photos.

Then the smart phone appeared, in addition to the function of taking photos, but also added interesting photo software, can carry out a certain degree of beautification of their photos.

Up to now, a variety of photography software emerge in an endless stream, more developed AI face-changing video software, can let you in any scene without any sense of harmony, the realization of this technology is thanks to our artificial intelligence.

Speaking of artificial intelligence, people’s first impression is intelligent robot. But in fact, ai covers a wide range. According to official definitions, AI refers to a system that correctly interprets external data, learns from that data, and uses that learning to improve its ability to achieve specific goals and tasks through flexible adaptation.

Artificial intelligence is a branch of science that analyzes data, uses it, designs algorithms, and builds systems.

AI face-changing technology also applies the disciplinary characteristics of artificial intelligence to accurately create a face-changing mode in line with each person’s facial characteristics, and enriches the character image through various special effects.

In this technology, the main difficulties are as follows:

1. A lot of data needs to be collected.

The core of AI artificial intelligence lies in algorithms. Therefore, in order to realize this technology, we must refer to enough data, analyze a large amount of data and build a model so as to obtain face-changing effects suitable for everyone.

2. Poor controllability.

In addition to the large amount of data analysis mentioned above, the technology also suffers from poor controllability. The face shape, the size of the eyes and the distance between the eyes need to be operated on a small scale. In addition, the size of each person’s facial features is different, so it is difficult to ensure that the adjustment is suitable for everyone on a small scale.

3. The generated quality is unstable.

Due to the quality of the input data and the instability of the generated model, the generated image may be of low quality.

4. It is difficult to deploy on the mobile terminal due to the large amount of computing.

This technology is not suitable for mobile deployment because of its powerful generation capability, which may require hundreds of gigabytes of computation.

In order to overcome these technical difficulties and implement the technology, it is necessary to do:

Unpaired data are collected according to the demand, and the model with high number of parameters is trained to generate paired data.

Enhance the image quality of paired data;

Using paired data to train the mobile lightweight model.

It can be seen that the application of ARTIFICIAL intelligence is in all aspects, not limited to intelligent robots, nor let go of the system that needs to be accumulated through algorithms in daily life, in the world of artificial intelligence, there is far more than that.