ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones
Autor: | An, Shan, Che, Guangfu, Guo, Jinghao, Zhu, Haogang, Ye, Junjie, Zhou, Fangru, Zhu, Zhaoqi, Wei, Dong, Liu, Aishan, Zhang, Wei |
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Rok vydání: | 2021 |
Předmět: | |
Druh dokumentu: | Working Paper |
DOI: | 10.1145/3474085.3481537 |
Popis: | Virtual try-on technology enables users to try various fashion items using augmented reality and provides a convenient online shopping experience. However, most previous works focus on the virtual try-on for clothes while neglecting that for shoes, which is also a promising task. To this concern, this work proposes a real-time augmented reality virtual shoe try-on system for smartphones, namely ARShoe. Specifically, ARShoe adopts a novel multi-branch network to realize pose estimation and segmentation simultaneously. A solution to generate realistic 3D shoe model occlusion during the try-on process is presented. To achieve a smooth and stable try-on effect, this work further develop a novel stabilization method. Moreover, for training and evaluation, we construct the very first large-scale foot benchmark with multiple virtual shoe try-on task-related labels annotated. Exhaustive experiments on our newly constructed benchmark demonstrate the satisfying performance of ARShoe. Practical tests on common smartphones validate the real-time performance and stabilization of the proposed approach. Comment: Accepted by ACM Multimedia 2021 |
Databáze: | arXiv |
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