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Title: :  Virtual Try-On-Enhancing Fashion Exploration for Gen-Z
PaperId: :  26309
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26309
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Anushka ManeAISSMS Institute Of Information technology, Pune
Samruddhi NavaghaneAISSMS Institute Of Information technology, Pune
Eeshan PrabhuAISSMS Institute Of Information technology, Pune
Atharva MoreAISSMS Institute Of Information technology, Pune
Prof. Snehal BagalAISSMS Institute Of Information technology, Pune

Abstract

Deep Learning & Generative Models
Virtual Try-On, VTON, Image-based VTON,3D-based VTON, Generative Adversarial Networks (GAN),Deep Learning, Garment Simulation
Virtual Try-On (VTON) is a rapidly emerging technology designed to digitally visualize how garments might appear when worn by individuals, thus transforming traditional fashion and retail experiences. This survey paper meticulously explores various state-of-he-art techniques employed in VTON systems, primarily focusing on image-based, 3D-based, and hybrid approaches. Initially, the paper introduces fundamental concepts of virtual try-on systems, tracing their historical progression and relevance within modern e-commerce and fashion industries. It systematically categorizes methodologies into distinct groups, highlighting pioneering approaches such as warping methods, generative adversarial networks (GAN), and advanced 3D garment simulation techniques. The paper further emphasizes crucial technologies and datasets pivotal to VTON advancements, including GANs, transformers, diffusion models, and benchmarking datasets like DeepFashion and VITON. In addressing existing limitations, this survey underscores critical challenges such as achieving photorealistic rendering, effectively handling occlusions and diverse human poses, ensuring real-time processing, and generalizing across various fabric textures and garment styles. Moreover, recent innovations and their implications on commercial and real-time applications are thoroughly discussed. Finally, the paper delineates future research directions aimed at enhancing system realism, scalability, personalization, and integration of emerging generative AI methodologies, highlighting the significant potential for continued innovation and application in the digital retail landscape.

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IJARIIE Anushka Mane, Samruddhi Navaghane, Eeshan Prabhu, Atharva More, and Prof. Snehal Bagal. "Virtual Try-On-Enhancing Fashion Exploration for Gen-Z" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 3112-3117
MLA Anushka Mane, Samruddhi Navaghane, Eeshan Prabhu, Atharva More, and Prof. Snehal Bagal. "Virtual Try-On-Enhancing Fashion Exploration for Gen-Z." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 3112-3117.
APA Anushka Mane, Samruddhi Navaghane, Eeshan Prabhu, Atharva More, & Prof. Snehal Bagal. (2025). Virtual Try-On-Enhancing Fashion Exploration for Gen-Z. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 3112-3117.
Chicago Anushka Mane, Samruddhi Navaghane, Eeshan Prabhu, Atharva More, and Prof. Snehal Bagal. "Virtual Try-On-Enhancing Fashion Exploration for Gen-Z." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 3112-3117.
Oxford Anushka Mane, Samruddhi Navaghane, Eeshan Prabhu, Atharva More, and Prof. Snehal Bagal. 'Virtual Try-On-Enhancing Fashion Exploration for Gen-Z', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 3112-3117. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Virtual_Try_On_Enhancing_Fashion_Exploration_for_Gen_Z_ijariie26309.pdf (Accessed : ).
Harvard Anushka Mane, Samruddhi Navaghane, Eeshan Prabhu, Atharva More, and Prof. Snehal Bagal. (2025) 'Virtual Try-On-Enhancing Fashion Exploration for Gen-Z', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 3112-3117IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Virtual_Try_On_Enhancing_Fashion_Exploration_for_Gen_Z_ijariie26309.pdf (Accessed : )
IEEE Anushka Mane, Samruddhi Navaghane, Eeshan Prabhu, Atharva More, and Prof. Snehal Bagal, "Virtual Try-On-Enhancing Fashion Exploration for Gen-Z," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 3112-3117, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Virtual_Try_On_Enhancing_Fashion_Exploration_for_Gen_Z_ijariie26309.pdf [Accessed : ].
Turabian Anushka Mane, Samruddhi Navaghane, Eeshan Prabhu, Atharva More, and Prof. Snehal Bagal. "Virtual Try-On-Enhancing Fashion Exploration for Gen-Z." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 ().
Vancouver Anushka Mane, Samruddhi Navaghane, Eeshan Prabhu, Atharva More, and Prof. Snehal Bagal. Virtual Try-On-Enhancing Fashion Exploration for Gen-Z. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(2) : 3112-3117. Available from: https://ijariie.com/AdminUploadPdf/Virtual_Try_On_Enhancing_Fashion_Exploration_for_Gen_Z_ijariie26309.pdf
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