• Nikat Tousif Attar
• Dr. Anita Mahajan

The fusion of computer vision, artificial intelligence, and augmented reality is transforming the digital fashion industry through Image-based Virtual Try-On (VTO) technology. These advanced technologies analyze user images using complex algorithms that consider factors such as fabric movement, lighting conditions, and body proportions. By going beyond simple visual overlays, Image-based VTO addresses persistent challenges in online clothing shopping, particularly issues related to fit and style uncertainty. It offers a more realistic and engaging virtual fitting room experience, enhancing the online shopping process for consumers. Additionally, it helps reduce the environmental impact caused by return logistics. As Image-based VTO continues to evolve, it is set to become a key player in reshaping the future of retail by bridging the gap between the virtual and physical worlds, allowing individuals to explore and express their unique fashion preferences and styles.

"Robust Virtual Try-On with Multi-Scale Patch Adversarial Cloth Warping", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 4, page no.m335-m338, April-2025, Available :http://www.jetir.org/papers/JETIR2504C44.pdf

"Robust Virtual Try-On with Multi-Scale Patch Adversarial Cloth Warping", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 4, page no. ppm335-m338, April-2025, Available at : http://www.jetir.org/papers/JETIR2504C44.pdf