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arXiv · 2108.10515

ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones

Shan An·Guangfu Che·Jinghao Guo·Haogang Zhu·Junjie Ye·Fangru Zhou·Zhaoqi Zhu·Dong Wei·Aishan Liu·Wei Zhang
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Abstract

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.

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Shan An, Guangfu Che, Jinghao Guo, Haogang Zhu, Junjie Ye, Fangru Zhou, Zhaoqi Zhu, Dong Wei, Aishan Liu, Wei Zhang. 2021-08-24. ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones. https://doi.org/10.1145/3474085.3481537

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