2023
DOI: 10.3390/jimaging9040076
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VICO-DR: A Collaborative Virtual Dressing Room for Image Consulting

Abstract: In recent years, extended reality has increasingly been used to enhance the shopping experience for customers. In particular, some virtual dressing room applications have begun to develop, as they allow customers to try on digital clothes and see how they fit. However, recent studies found that the presence of an AI or a real shopping assistant could improve the virtual dressing room experience. In response to this, we have developed a collaborative synchronous virtual dressing room for image consulting that a… Show more

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Cited by 11 publications
(2 citation statements)
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“…This pipeline consists of six models makes the inference time very large (140 sec), but it gives very accurate results, however, this huge inference time is not suitable for this use-case, so we thought how to decrease it. To solve the problem of large inference time we tried other models for segmentation such as self-correction human parsing [33], and Deep-Lab V3 [34]. After utilizing and evaluating the three models Deep-Lab V3 model were selected for this work (see Section V).…”
Section: A Images Preprocessingmentioning
confidence: 99%
“…This pipeline consists of six models makes the inference time very large (140 sec), but it gives very accurate results, however, this huge inference time is not suitable for this use-case, so we thought how to decrease it. To solve the problem of large inference time we tried other models for segmentation such as self-correction human parsing [33], and Deep-Lab V3 [34]. After utilizing and evaluating the three models Deep-Lab V3 model were selected for this work (see Section V).…”
Section: A Images Preprocessingmentioning
confidence: 99%
“…Активно розвиваються напрями впровадження віртуальних гардеробних, які дозволяють клієнтам приміряти цифровий одяг та оцінювати рівень відповідності виробу фігурі, типажу чи кольоротипу споживача [6]. Сучасні цифрові технології дозволяють також враховувати такі важливі фактори як драпірування та рух одягу [7].…”
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