Virtual try-on system, virtual try-on method, computer program product, and information processing device

Abstract

A virtual try-on system includes one or more hardware processors configured to function as a learning unit, an acquisition unit, a deriving unit, and a generation unit. The learning unit learns, by machine learning using three-dimensional data of a try-on person, a learning model using a teacher try-on person image as input data, and using a body shape parameter indicating a body shape of the try-on person represented by the teacher try-on person image and compositing position information of a clothing image in the teacher try-on person image as output data. The acquisition unit acquires a try-on person image. The deriving unit derives output data of the try-on person represented by the try-on person image using the try-on person image and the learning model. The generation unit generates a virtual try-on image by compositing the try-on person image and the clothing image using the derived output data.