VirtuFit: Cross-Platform AR Shopping Assistant with AI-Based Fit & Style Recommender

Author(s)	Mrs. C. Manonmani, Dr. J. Aruna, Lebi Maria C., Renu Sri J., Sreeja M., Varshini S.
Country	India
Abstract	Online fashion shopping faces a major problem: customers cannot see how clothes will actually fit their body before buying. This leads to high return rates and dissatisfaction. We introduce VirtuFit, a cross-platform Augmented Reality (AR) shopping assistant designed to solve this. Our system uses a new algorithm called the Sparse Pose-Guided Deformation Field (SPDF) for virtual try-on. Unlike methods that warp the entire garment image densely, SPDF uses body pose points to deform only a sparse set of garment control points, then efficiently interpolates the full warp field using thin-plate splines. This makes it fast enough for real-time use on mobile devices. Tests show our method scores 85% higher in user-rated realism than basic 2D overlay techniques and cuts rendering time by two-thirds. VirtuFit also includes a style recommendation engine to suggest compatible clothing items.
Keywords	Virtual Try-On, Augmented Reality, Garment Warping, Pose Estimation, Mobile AR, E-commerce, Fashion Recommendation, Sparse Deformation
Field	Computer Applications
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-25

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research