Makeup transfer is one of the applications of image style transfer, which refers to transfer the reference makeup to the face without makeup, and maintaining the original appearance of the plain face and the makeup style of the reference face. In order to understand the research status of makeup transfer, this paper systematically sorts out makeup transfer technology. According to the development process of the method of makeup transfer, our paper first introduces and analyzes the traditional methods of makeup transfer. In particular, the methods of makeup transfer based on deep learning framework are summarized, covering both disadvantages and advantages. Finally, some key points in the current challenges and future development direction o...
It is a very challenging task for image processing techniques to render the semantic contents of one...
The first algorithm for neural style transfer was proposed by Gatys et al (2015), since then, Style ...
The challenge of developing facial recognition systems has been the focus of many research efforts i...
This paper addresses the problem of using deep learning for makeup style transfer. For solving this ...
In the modern age, the world is like a village day by day as the technology is being developed as a ...
The diversity of painting styles provides rich visual information for constructing artistic images. ...
With the explosive development of social media, people are more willing to sharing their portrait ph...
Today, cosmetic style transfer algorithm is a kind of popular technology. Its main function is to tr...
There are rare studies on the combination of visual communication courses and image style transfer. ...
This paper proposes an image style transfer technique based on target image color and style, which i...
With the advent of the artificial intelligence (AI) era, the beauty camera is widely used, and makeu...
When standard neural style transfer approaches are used in portrait style transfer, they often inapp...
Neural style transfer is the process of merging the content of one image with the style of another t...
Makeup can disguise facial features, which results in degradation in the performance of many facial-...
Facial makeup style transfer is an extremely challenging sub-field of image-to-image-translation. Du...
It is a very challenging task for image processing techniques to render the semantic contents of one...
The first algorithm for neural style transfer was proposed by Gatys et al (2015), since then, Style ...
The challenge of developing facial recognition systems has been the focus of many research efforts i...
This paper addresses the problem of using deep learning for makeup style transfer. For solving this ...
In the modern age, the world is like a village day by day as the technology is being developed as a ...
The diversity of painting styles provides rich visual information for constructing artistic images. ...
With the explosive development of social media, people are more willing to sharing their portrait ph...
Today, cosmetic style transfer algorithm is a kind of popular technology. Its main function is to tr...
There are rare studies on the combination of visual communication courses and image style transfer. ...
This paper proposes an image style transfer technique based on target image color and style, which i...
With the advent of the artificial intelligence (AI) era, the beauty camera is widely used, and makeu...
When standard neural style transfer approaches are used in portrait style transfer, they often inapp...
Neural style transfer is the process of merging the content of one image with the style of another t...
Makeup can disguise facial features, which results in degradation in the performance of many facial-...
Facial makeup style transfer is an extremely challenging sub-field of image-to-image-translation. Du...
It is a very challenging task for image processing techniques to render the semantic contents of one...
The first algorithm for neural style transfer was proposed by Gatys et al (2015), since then, Style ...
The challenge of developing facial recognition systems has been the focus of many research efforts i...