Smart Dress Trial

The Smart Dress Trial, a Deep Learning Project is an innovative and exciting development in the fashion industry, aimed at providing a personalized and engaging shopping experience for consumers. Due to the restricted size selection, lack of privacy, hygiene issues, erroneous sizing, time-consuming procedure, poor lighting, and lack of mirrors, trying items on in a store may be a stressful experience. The Adaptive Content Generating and Preserving Network (ACGPN) is a revolutionary visual try-on network that we suggest as a solution to this problem. In particular, ACGPN determines if the image's information has to be generated or maintained based on the reference image's anticipated semantic layout, which will change after the try-on, producing a photorealistic richly detailed garment try-on. ACGPN typically consists of three main modules: a module for semantic layout generation, second, clothes warping module, and third an inpainting module.