15 citations · 26 across the 5 of their papers we have counts for
5 papers
Weakly Supervised High-Fidelity Clothing Model Generation
Ruili Feng, Cheng Ma, Chengji Shen +5
The development of online economics arouses the demand of generating images of models on product clothes, to display new clothes and promote sales. However, the expensive proprieta…
Shape Controllable Virtual Try-on for Underwear Models
Xin Gao, Zhenjiang Liu, Zunlei Feng +4
Image virtual try-on task has abundant applications and has become a hot research topic recently. Existing 2D image-based virtual try-on methods aim to transfer a target clothing i…
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers
Jingwen Ye, Xinchao Wang, Yixin Ji +2
Many well-trained Convolutional Neural Network(CNN) models have now been released online by developers for the sake of effortless reproducing. In this paper, we treat such pre-trai…
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
Jingwen Ye, Yixin Ji, Xinchao Wang +3
In this paper, we investigate a novel deep-model reusing task. Our goal is to train a lightweight and versatile student model, without human-labelled annotations, that amalgamates…
Selective Zero-Shot Classification with Augmented Attributes
Jie Song, Chengchao Shen, Jie Lei +4
In this paper, we introduce a selective zero-shot classification problem: how can the classifier avoid making dubious predictions? Existing attribute-based zero-shot classification…