Abstract
Abstract: An increasing number of individuals are shopping online, particularly for clothing. However, while purchasing online, actual try-ons are not allowed, which limits the customer’s ability to see how a garment would appear on them. To enable buyers to virtually try on the desired clothing from an online store, an imagebased try-on system was devised. The ability to practically put on several clothes has increased customer interest in shopping. Image Recognition and Feature Extraction was the important part of the model to get desired outcomes. And To address these problems, we implement the CP-VTON+ (Clothing shape and texture Preserving VTON), which performs substan- tially better than the most advanced in sense of both quantitative and qualitative evaluations. The CP-VTON+ model not only adapt to detangle clothes from the person, but also maintains the clothing’s details on the try-on outcomes.
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