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Demo: On-Device Video Virtual Try-On for Mobile Shopping

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Authors

Ahn, Dongha; Kang, Dong-Sig; Baek, Eunsu; Kim, Hyung-Sin

Issue Date
2024-06
Publisher
Association for Computing Machinery, Inc
Citation
MOBISYS 2024 - Proceedings of the 2024 22nd Annual International Conference on Mobile Systems, Applications and Services, pp.610-611
Abstract
Virtual try-on (VTO) superimposes clothing over user image or video, enhancing online shopping experience. On-device VTO can preserve user privacy but most VTO techniques cannot be run on resource-constrained devices due to excessive computation overhead. In this demo, we demonstrate a novel Android application for on-device video VTO referring to MIRROR, the state-of-The-Art mobile VTO system. The application minimizes video generation time by splitting the process into two phases, achieving 0.76 minutes to convert 10-second-long video on Galaxy S24 Ultra. Our application was evaluated as 78.5 score (above average) in SUS usability test. A companion video is provided at: https://youtu.be/YTExc8W5BzM
URI
https://hdl.handle.net/10371/204937
DOI
https://doi.org/10.1145/3643832.3661842
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  • Graduate School of Data Science
Research Area Distributed machine learning, Edge, Mobile AI

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