Virtual Dress Swap Using Landmark Detection
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Abstract (arXiv)
Online shopping has gained popularity recently. This paper addresses one crucial problem of buying dress online, which has not been solved yet. This research tries to implement the idea of clothes swapping with the help of DeepFashion dataset where 6,223 images with eight landmarks each used. Deep Convolutional Neural Network has been built for Landmark detection.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 9 references that are in the map. First posted on arXiv 17 Mar 2021.
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