Deep learning in virtual try-on: A comprehensive survey

T Islam, A Miron, X Liu, Y Li - IEEE Access, 2024‏ - ieeexplore.ieee.org
Virtual try-on technology has gained significant importance in the retail industry due to its
potential to transform the way customers interact with products and make purchase …

Artificial intelligence in business-to-customer fashion retail: A literature review

A Goti, L Querejeta-Lomas, A Almeida, JG de la Puerta… - Mathematics, 2023‏ - mdpi.com
Many industries, including healthcare, banking, the auto industry, education, and retail, have
already undergone significant changes because of artificial intelligence (AI). Business-to …

Ladi-vton: Latent diffusion textual-inversion enhanced virtual try-on

D Morelli, A Baldrati, G Cartella, M Cornia… - Proceedings of the 31st …, 2023‏ - dl.acm.org
The rapidly evolving fields of e-commerce and metaverse continue to seek innovative
approaches to enhance the consumer experience. At the same time, recent advancements …

Texture-preserving diffusion models for high-fidelity virtual try-on

X Yang, C Ding, Z Hong, J Huang… - Proceedings of the …, 2024‏ - openaccess.thecvf.com
Image-based virtual try-on is an increasingly important task for online shop**. It aims to
synthesize images of a specific person wearing a specified garment. Diffusion model-based …

Perceptual artifacts localization for image synthesis tasks

L Zhang, Z Xu, C Barnes, Y Zhou… - Proceedings of the …, 2023‏ - openaccess.thecvf.com
Recent advancements in deep generative models have facilitated the creation of photo-
realistic images across various tasks. However, these generated images often exhibit …

[HTML][HTML] FICE: Text-conditioned fashion-image editing with guided GAN inversion

M Pernuš, C Fookes, V Štruc, S Dobrišek - Pattern Recognition, 2025‏ - Elsevier
Fashion-image editing is a challenging computer-vision task where the goal is to incorporate
selected apparel into a given input image. Most existing techniques, known as Virtual Try-On …

Exfacegan: Exploring identity directions in gan's learned latent space for synthetic identity generation

F Boutros, M Klemt, M Fang, A Kuijper… - … Joint Conference on …, 2023‏ - ieeexplore.ieee.org
Deep generative models have recently presented impressive results in generating realistic
face images of random synthetic identities. To generate multiple samples of a certain …

Cloth interactive transformer for virtual try-on

B Ren, H Tang, F Meng, D Runwei, PHS Torr… - ACM Transactions on …, 2023‏ - dl.acm.org
The 2D image-based virtual try-on has aroused increased interest from the multimedia and
computer vision fields due to its enormous commercial value. Nevertheless, most existing …

[HTML][HTML] StyleVTON: A multi-pose virtual try-on with identity and clothing detail preservation

T Islam, A Miron, X Liu, Y Li - Neurocomputing, 2024‏ - Elsevier
Virtual try-on models have been developed using deep learning techniques to transfer
clothing product images onto a candidate. While previous research has primarily focused on …

Greatness in simplicity: Unified self-cycle consistency for parser-free virtual try-on

C Du, S Liu, S **ong - Advances in Neural Information …, 2023‏ - proceedings.neurips.cc
Image-based virtual try-on tasks remain challenging, primarily due to inherent complexities
associated with non-rigid garment deformation modeling and strong feature entanglement of …