Research of Virtual Try-On Technology Based on Two-Dimensional Image

Virtual try-on based on two-dimensional image refers to trying on the target clothing on a human image to generate the final fitting image. In order to solve the problems of blurred human images, body parts missing and clothing cannot be correctly warped according to the posture of human images after fitting, this paper improves the Flow-Style-VTON network structure and proposes a virtual try-on model A-VITON. This paper adds residual blocks and CBAM attention mechanism to the U-Net network of the try-on module to improve the network’s feature extraction ability for target objects, making the generated try-on images more realistic. Secondly, this paper also proposes a layered virtual try-on method to provide consumers with more diverse fitting services. Finally, in order to reduce the interference of complex background on the try-on results, this paper proposes a virtual try-on method with background for the first time, which can generate high-quality try-on images while preserving the original image background. The try-on results on the VITON dataset show that the proposed method has great advantages in generating high-quality try-on images.