Technical Name 串連電商及線下購物的新消費型態 - 高擬真虛擬試穿
Project Operator National Yang Ming Chiao Tung University
Project Host 鄭文皇
Summary We propose a semantic-guided framework (FashionOn+) that generates image-based virtual try-on results with arbitrary poses. FashionOn+ contains three stages: (I) conducts the semantic segmentation to have the prior knowledge of body parts for rendering the corresponding texture in stage (II). (III) refines two salient regions, i.e., faceclothes, to generate high-quality results. With the novel architecture, we win first place in the Multi-pose Virtual Try-on Challenge in CVPR, 2020. Further, we tackle the low-resolution limitation (256x192)achieve high-resolution results (640x480).
Technical Film
Scientific Breakthrough \"We move a step towards the real-world try-on scenario synthesizing try-on results with arbitrary poses. We propose a semantic-guided framework to deal with the issues caused by prior art techniques, e.g., pattern distortionlimited in one human pose. In terms of ISSSIM, our method surpasses the SOTA [1] by 18.919.8. In the Multi-pose Virtual Try-on Challenge in CVPR in 2020, our method won first placesurpassed the secondthird place in the A/B test by 8.624.7.[1] Zheng et al.,“Virtually trying on new clothing with arbitrary poses,”in ACMMM, 2019.\"
Industrial Applicability Virtual try-on has great potentialities, especially with the COVID-19 pandemic. According to Statista, revenue in the Fashion segment is projected to reach US$878.3 billion in 2021. However, consumers tend to hesitate to decide whether to buy a specific garment since they are not sure whether the garment is suitable for them only based on one clothing image onlineeven an image with a model trying on the garment. To eliminate the uncertainty about whether the clothes are suitable for the consumer, our technique helps increase the conversion ratereduce the return rate.
Matching Needs 1.欲媒合之產業領域:資訊與通訊、生活應用。2.欲媒合項目:技術合作、技術授權。
Keyword Artificial Intelligence Image Processing Computer Vision Deep Learning Neural Network Virtual Try-on Intelligent Retail Consumer Technology Human-Computer Interaction E-commerce
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  • 陳婕云