CAF-VTON: Cross-Attention Layered Fusion Based Latent Diffusion Virtual Try-On

Abstract excerpt

<title>Abstract</title> <p>Virtual try-on technology has gained significant attention in e-commerce, digital retail, and virtual reality due to its ability to enhance user experience and reduce return rates. However, generating accurate and natural virtual try-on results remains challenging, especially when dealing with complex human poses and clothing deformations. In this paper, we propose CAF-VTON, a novel lat...

Topics

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• Aged
• Algorithms
• Case-Control Studies
• Deep Learning
• Image Enhancement
• Image Processing, Computer-Assisted
• Phenotype
• Retina

Identifiers and source

Literature Corpus work

7d93e08f-8556-5c44-bd95-f2ff62ff0cd7

DOI

10.21203/rs.3.rs-6304101/v1