Fashion knowledge encourages people to properly dress and faces not only physiological
necessity of users, but also the requirement of social practices and activities. It usually …

Clothing parsing has made tremendous progress in the domain of computer vision recently.
Most state-of-the-art methods are based on the encoder-decoder architecture. However, the …

Virtual try-on system could demonstrate the visual effect of wearing certain clothes, which is
in a great demand for the online clothing customers. Due to the neglect of the original …

Generative adversarial networks (GANs) are able to produce realistic images. However,
GANs may suffer mode collapse in their output data distribution. Here, we theoretically and …

In order to deal with the problem that the traditional stage costume artistry analysis method
cannot correct the results of big data clustering, which leads to deviations in the extraction of …

In recent years, multi‐human parsing has become a focal point in research, yet prevailing
methods often rely on intermediate stages and lacking pixel‐level analysis. Moreover, their …

Human parsing is very important in a diverse range of industrial applications. Despite the
considerable progress that has been achieved, the performance of existing methods is still …

Clothing genres analysis, is a notorious topic in the field of computer vision and in
multimedia. The major challenges faced in the segmentation of clothing images includes …

Human parsing, which aims at resolving human body and clothes into semantic part regions
from an human image, is a fundamental task in human‐centric analysis. Recently, the …

传统服装产业面临诸多问题, 如劳动力成本增加, 设计创新不足和供应链管理不善.
这些问题在很大程度上源于服装产业的劳动密集型特性, 以及对人力资源的高度依赖 …