A Review on VIRTUAL TRY-ON

Virtual try-on systems have emerged as pivotal tools in the realms of e-commerce and the metaverse, revolutionizing the way consumers engage with fashion and online shopping experiences. This paper presents a comprehensive review of recent literature and innovations in virtual try-on technology, focusing on methodologies aimed at enhancing realism, accuracy, and user engagement. The review begins by discussing the evolution from early 3D modelling techniques to more recent image-based approaches, highlighting the influence of seminal works such as Pix2pixHD in enabling high-resolution image synthesis. Challenges related to paired image requirements are addressed, leading to the introduction of novel methodologies like Outfit-VITON, which utilizes individual 2D training photos to simplify data collection and enhance scalability. Furthermore, the paper explores the paradigm shift introduced by multi-stage designs like those employed in VTNFP, emphasizing the critical role of components such as the geometric matching module (GMM) and body segmentation maps in achieving precise garment warping and fine-scale image synthesis. The review also discusses recent advancements in virtual try-on systems, such as ACGPN’s Content Fusion Module (CFM) and Clothes Warping Module (CWM), which preserve human identification features and clothing attributes to enhance realism and user satisfaction. Similarly, CP-VTON+ addresses challenges related to dataset representation and network architecture optimization, demonstrating superior performance in both qualitative and quantitative evaluations. The paper further examines emerging trends in virtual try-on technology, including the integration of textual inversion techniques in models like LaDI-VTON, which map visual garment characteristics to token embeddings to preserve texture and details. Overall, this review provides insights into the state-of-the-art virtual try-on systems, highlighting key methodologies, innovations, and challenges. By elucidating recent advancements and future research directions, this paper aims to contribute to the continued evolution and enhancement of virtual try-on technology in the context of e-commerce and the metaverse.