N-FLOWS ESTIMATION FOR GARMENT TRANSFER

Methods and systems are disclosed for using machine learning models to perform pixel-based deformation of fashion items using N-flows estimation. The methods and systems receive one or more images depicting a first person in a first pose and receive a source image depicting a target fashion item worn on a portion of a body of a second person in a second pose, the target fashion item comprising a plurality of parts. The methods and systems process, using one or more machine learning models, the one or more images together with the source image to generate a set of data comprising a plurality of flow fields each associated with a different one of the plurality of parts of the target fashion item. The methods and systems modify a portion of the one or more images to overlay the target fashion item on the first person in the first pose.