Image-based virtual try-on aims to synthesize an image of a person wearing a given clothing
item. To solve the task, the existing methods warp the clothing item to fit the person's body …

Deep person generation has attracted extensive research attention due to its wide
applications in virtual agents, video conferencing, online shopping, and art/movie …

The fashion industry is on the verge of an unprecedented change. The implementation of
machine learning, computer vision, and artificial intelligence (AI) in fashion applications is …

While significant progress has been made in garment transfer, one of the most applicable
directions of human-centric image generation, existing works overlook the in-the-wild …

We propose a new approach to human clothing modeling based on point clouds. Within this
approach, we learn a deep model that can predict point clouds of various outfits, for various …

The rapid progress of computer vision, machine learning, and artificial intelligence
combined with the current growing urge for online shopping systems opened an excellent …

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 …

In this digital world, the fusion of Artificial Intelligence (AI) and Human-Computer Interaction
(HCI) opens new avenues for enhancing user experiences through personalization. This …

Virtual try-on has recently emerged in computer vision and multimedia communities with the
development of architectures that can generate realistic images of a target person wearing a …

In this paper, we propose a Landmark Guided Virtual Try-On (LGVTON) method for clothes,
which aims to solve the problem of clothing trials on e-commerce websites. Given the …