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Published on: July 24, 2017
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You can try without visiting: a comprehensive survey on virtually try-on outfits.
Hajer Ghodhbani1, Mohamed Neji1,2, Imran Razzak3
1REsearch Groups in Intelligent Machines (REGIM Lab), University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, 3038 Sfax, Tunisia.
Multimedia Tools and Applications
|March 16, 2022
Summary
Virtual try-on technology enhances online apparel shopping by addressing challenges like pose and texture. This review explores image-based virtual try-on advancements and future research directions for the fashion industry.
Area of Science:
- Computer Science
- Artificial Intelligence
- Fashion Technology
Background:
- The garment industry faces increasing demand for online fitting solutions.
- Image-based virtual try-on (VTON) is a key technology for enhancing e-commerce fashion experiences.
- Significant challenges remain in achieving realistic virtual try-ons.
Purpose of the Study:
- To provide a comprehensive overview of virtual try-on research.
- To analyze the challenges and demands of virtual try-on in the fashion industry.
- To summarize state-of-the-art image-based virtual try-on methods.
Main Methods:
- Literature review of image-based virtual try-on techniques.
- Analysis of fashion detection and synthesis approaches.
- Evaluation of advantages, drawbacks, and application of VTON models.
Main Results:
- Identified key challenges in VTON: shape, pose, occlusion, illumination, texture, logos, and text.
- Summarized state-of-the-art methods for fashion detection and synthesis in VTON.
- Outlined guidelines for selecting appropriate VTON models.
Conclusions:
- Virtual try-on technology is crucial for online apparel retail.
- Further research is needed to overcome existing VTON challenges.
- Future directions include improving realism and addressing complex clothing details.
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