WG-VITON: Wearing-Guide Virtual Try-On for Top and Bottom Clothes
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Abstract (arXiv)
Studies of virtual try-on (VITON) have been shown their effectiveness in utilizing the generative neural network for virtually exploring fashion products, and some of recent researches of VITON attempted to synthesize human image wearing given multiple types of garments (e.g., top and bottom clothes). However, when replacing the top and bottom clothes of the target human, numerous wearing styles are possible with a certain combination of the clothes. In this paper, we address the problem of variation in wearing style when simultaneously replacing the top and bottom clothes of the model. We introduce Wearing-Guide VITON (i.e., WG-VITON) which utilizes an additional input binary mask to control the wearing styles of the generated image. Our experiments show that WG-VITON effectively generates an image of the model wearing given top and bottom clothes, and create complicated wearing styles such as partly tucking in the top to the bottom
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 16 of its 21 references that are in the map. First posted on arXiv 10 May 2022.
Builds on
16 of 21 references.
References · 16
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4 more
- 2021Disentangled Cycle Consistency for Highly-realistic Virtual Try-Oncited by 62
- 2021Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editingcited by 54
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Citing papers per year: 2023: 1; 2024: 0; 2025: 1.
2 papers.