PIXEL-BASED MULTI-VIEW GARMENT TRANSFER

Abstract: methods and systems are disclosed for using machine learning models to perform pixel-based deformation of fashion items. the methods and systems receive one or more images depicting a person in an individual pose and receive a first source image depicting a first view of a target fashion item and a second source image depicting a second view of the target fashion item. the methods and systems process, using one or more machine learning models, the one or more images that depict the person in the individual pose together with the first and second source images to generate a flow field, the flow field indicating a likelihood of existence and location of each pixel of the one or more images relative to the first and second source images. the methods and systems modify a portion of the one or more images to overlay the target fashion item on the person.

Inventor(s): Avihay Assouline, Amir Fruchtman, Jonathan Heimann, Nir Malbin

CPC Classification: G06T19/006 ({Mixed reality (object pose determination, tracking or camera calibration for mixed reality )})

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