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Original Article
A Virtual Try-On and Size Prediction System Using Image Processing and Web Technologies
Pallavi S1
Nikhil T R2
Mohan K G3
Lingaraju H L4
Rahul H R5
1 Professor, Department of Computer science engineering ,RajaRajeswari college of Eng. Bengaluru, Karnataka, India. 2 3 4 5 Department of Computer science engineering, RajaRajeswari college of Eng. Bengaluru, Karnataka, India.
Published Online: November-December 2025
Pages: 135-140
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20250506020
References
1. X. Han, Z. Wu, Z. Wu, R. Guo, and S. Lin, “VITON: An Image-based Virtual Try-On Network,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), 2018.
2. B. Wang, H. Zheng, and X. Tang, “Toward Characteristic-Preserving Image-based Virtual Try-On,” in Proc. Eur. Conf. Comput. Vis. (ECCV), 2019.
3. W.-N. Hsiao, M. J. Black, and A. Kanazawa, “DensePose Clothing: Joint Body and Garment Fitting,” IEEE Trans. Pattern Anal. Mach. Intell., 2022.
4. R. Umeton, “Web-based Fashion Recommendation Systems,” ACM Comput. Surv., 2021.
5. Y. Zhao and Y. Guo, “Lightweight Apparel Size Prediction Using User Images,” IEEE Access, 2020.
6. T. Karras, T. Aila, S. Laine, and J. Lehtinen, “Progressive GANs for High- Resolution Image Generation,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), 2018.
7. R. Berg, AI-Driven E-Commerce Personalization. Springer, 2021.
8. L. Li, “Virtual Fit Evaluation in Online Fashion Systems,” ACM Trans. Multimedia Comput. Commun. Appl. (TOMM), 2023.
9. Plotly Technologies, “Plotly for Python Documentation,” 2024.
10. Flask Developers, “Flask Web Framework Documentation,” 2023.
11. NumPy Developers, “NumPy User Guide,” 2024.
12. Z. Yang, “Body Measurement Estimation Using RGB Images,” in Proc. Int. Conf. Pattern Recognit. (ICPR), 2020.
13. M. Chen, “Heatmap-Based Visualization of Human Body Metrics,” in Proc. IEEE Visualization Conf. (VIS), 2021.
14. Amazon Inc., “E-commerce Clothing Metadata Analysis,” Technical Report, 2022.
15. Zara Group, “Digital Fashion and Virtual Try-On Technologies,” Industry Whitepaper, 2023.
2. B. Wang, H. Zheng, and X. Tang, “Toward Characteristic-Preserving Image-based Virtual Try-On,” in Proc. Eur. Conf. Comput. Vis. (ECCV), 2019.
3. W.-N. Hsiao, M. J. Black, and A. Kanazawa, “DensePose Clothing: Joint Body and Garment Fitting,” IEEE Trans. Pattern Anal. Mach. Intell., 2022.
4. R. Umeton, “Web-based Fashion Recommendation Systems,” ACM Comput. Surv., 2021.
5. Y. Zhao and Y. Guo, “Lightweight Apparel Size Prediction Using User Images,” IEEE Access, 2020.
6. T. Karras, T. Aila, S. Laine, and J. Lehtinen, “Progressive GANs for High- Resolution Image Generation,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), 2018.
7. R. Berg, AI-Driven E-Commerce Personalization. Springer, 2021.
8. L. Li, “Virtual Fit Evaluation in Online Fashion Systems,” ACM Trans. Multimedia Comput. Commun. Appl. (TOMM), 2023.
9. Plotly Technologies, “Plotly for Python Documentation,” 2024.
10. Flask Developers, “Flask Web Framework Documentation,” 2023.
11. NumPy Developers, “NumPy User Guide,” 2024.
12. Z. Yang, “Body Measurement Estimation Using RGB Images,” in Proc. Int. Conf. Pattern Recognit. (ICPR), 2020.
13. M. Chen, “Heatmap-Based Visualization of Human Body Metrics,” in Proc. IEEE Visualization Conf. (VIS), 2021.
14. Amazon Inc., “E-commerce Clothing Metadata Analysis,” Technical Report, 2022.
15. Zara Group, “Digital Fashion and Virtual Try-On Technologies,” Industry Whitepaper, 2023.
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