Virtual Dress Swap Using Landmark Detection
arXiv:2103.09475v11 citations
Originality Synthesis-oriented
AI Analysis
This addresses the issue of trying on clothes virtually for online shoppers, but it appears incremental as it applies existing methods to a specific dataset.
The paper tackled the problem of virtual dress swapping for online shopping by using a deep convolutional neural network for landmark detection on the DeepFashion dataset with 6,223 images and eight landmarks each.
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.