VTON-IT: Virtual Try-On using Image Translation

• URL: http://arxiv.org/abs/2310.04558v2
• Date: Mon, 6 May 2024 20:36:56 GMT
• Title: VTON-IT: Virtual Try-On using Image Translation
• Authors: Santosh Adhikari, Bishnu Bhusal, Prashant Ghimire, Anil Shrestha,
• Abstract summary: We try to produce photo-realistic translated images through semantic segmentation and a generative adversarial architecture-based image translation network. We present a novel image-based Virtual Try-On application VTON-IT that takes an RGB image, segments desired body part, and overlays target cloth over the segmented body region.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Virtual Try-On (trying clothes virtually) is a promising application of the Generative Adversarial Network (GAN). However, it is an arduous task to transfer the desired clothing item onto the corresponding regions of a human body because of varying body size, pose, and occlusions like hair and overlapped clothes. In this paper, we try to produce photo-realistic translated images through semantic segmentation and a generative adversarial architecture-based image translation network. We present a novel image-based Virtual Try-On application VTON-IT that takes an RGB image, segments desired body part, and overlays target cloth over the segmented body region. Most state-of-the-art GAN-based Virtual Try-On applications produce unaligned pixelated synthesis images on real-life test images. However, our approach generates high-resolution natural images with detailed textures on such variant images.

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