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Detail
Journal Article
이미지 기반 가상 착용 이미지 합성 기술 동향
- Issue Date
- 2024-06
- Citation
- 전자통신동향분석, v.39, no.3, pp.107-115
- ISSN
- 1225-6455
- Publisher
- 한국전자통신연구원
- Language
- Korean
- Type
- Journal Article
- Abstract
- Image synthesis has been remarkably developed in the computer vision domain and various researches have been proposed to generate realistic and high-resolution images. In particular, image-based virtual try-on is an application in fashion domain to simulate wearing clothes. Specifically, using input images of a fashion model and products, an realistic image of the model wearing the provided garments is synthesized. In this paper, we present a comprehensive review of technical trends in image-based virtual try-on technology. We first introduce relevant datasets and discuss their characteristics. Then, we categorize existing image synthesis methods into three main streams: warping-based methods, encoding-decoding-based methods, and diffusion-based methods. Finally, we explore other important research issues in the field of virtual try-on and analyze related researches aimed to tackling those challenges.
- KSP Keywords
- Computer Vision(CV), Encoding and decoding, Image-based, Research Issues, Synthesis Method, Virtual try-on, high resolution image, image synthesis
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
