Deep Learning Technologies for Apparel Design and Display

Currently, remote online apparel design and display are more widely used than the traditional offline mode. To provide suitable and aesthetically pleasing apparel for online customers, remote measurement of body dimensions, online selection and customization of apparel styles, and multiple viewpoints observation are crucial, but they are challenging now. Additionally, the complex real backgrounds of images used for anthropometry seriously hinder the improvement of measuring body dimensions' accuracy. Similarly, they are also not conducive to generating novel views from different perspectives and protecting personal privacy. In order to overcome these problems, deep Learning collaborative technologies are explored in this thesis.