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High fidelity virtual try-on network via semantic adaptation and distributed componentization

Computational Visual Media 2022年第4期8卷 649-663页

作者： Chenghu Du Feng Yu Minghua Jiang Ailing Hua Yaxin Zhao Xiong Wei Tao Peng Xinrong Hu School of Computer Science and Artificial Intelligence Wuhan Textile UniversityWuhan 430200China Engineering Research Center of Hubei Province for Clothing Information Wuhan 430200China

Image-based virtual try-on systems have significant commercial value in online garment ***,prior methods fail to appropriately handle details,so are defective in maintaining the original appearance of organizational items including arms,the neck,and in-shop *** propose a novel high fidelity virtual try-on network to generate realistic ***,a distributed pipeline is used for simultaneous generation of organizational ***,the in-shop garment is warped using thin plate splines(TPS)to give a coarse shape reference,and then a corresponding target semantic map is generated,which can adaptively respond to the distribution of different items triggered by different ***,organizational items are componentized separately using our novel semantic map-based image adjustment network(SMIAN)to avoid interference between body ***,all components are integrated to generatethe overall result by SMIAN.A priori dual-modalinformation is incorporated in the tail layers of SMIAN to improve the convergence rate of the *** demonstrate that the proposed method can retain better details of condition information than current *** method achieves convincing quantitative and qualitative results on existing benchmark datasets.

关键词： virtual try-on conditional image synthesis human parsing thin plate spline semantic adaptation

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ARCosmetics:a real-time augmented reality cosmetics try-on system

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Frontiers of Computer Science 2023年第4期17卷 15-28页

作者： Shan AN Jianye CHEN Zhaoqi ZHU Fangru ZHOU Yuxing YANG Yuqing MA Xianglong LIU Haogang ZHU Tech.&Data Center *** Inc.Beijing 100176China State Key Lab of Software Development Environment Beihang UniversityBeijing 100191China

A virtual cosmetics try-on system provides a realistic try-on experience for consumers and helps them efficiently choose suitable *** this article,we propose a real-time augmented reality virtual cosmetics try-on system for smartphones(ARCosmetics),taking speed,accuracy,and stability into consideration at each step to ensure a better user experience.A novel and very fast face tracking method utilizes the face detection box and the average position of facial landmarks to estimate the faces in continuous frames.A dynamic weight Wing loss is introduced to assign a dynamic weight to every landmark by the estimated error during *** balances the attention between small,medium,and large range error and thus increases the accuracy and *** also designed a weighted average method to utilize the information of the adjacent frame for landmark refinement,guaranteeing the stability of the generated *** experiments conducted on a large 106-point facial landmark dataset and the 300-VW dataset demonstrate the superior performance of the proposed method compared to other state-of-the-art *** also conducted user satisfaction studies further to verify the efficiency and effectiveness of our ARCosmetics system.

关键词： facial landmark localization face tracking stabilization augmented reality virtual try-on

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