Clothing and Fashion

Our technology extracts key body landmarks from a customer’s photos and creates a 3D body model from which we extract 86 measurements. We extract important features of the user’s body, such as body contour, body shape, and position, detect specific body parts (head, neck, shoulders, forearms, and ankles) and capture the details of the user’s appearance, such as haircut and skin tone.

Our algorithms generate a geometrically correct virtual try-on that alters the shape of the body. In addition to 3D body mesh enhancements and body tracking, a new cloth simulation machine learning algorithm recreates the texture of fabrics. The semantic generation module modifies the person’s segmentation map to identify the area on the body that should be covered with the target clothes and warps the clothing mask accordingly.