Abstract: Methods and systems are disclosed for performing real-time deforming operations. The system receives an image that includes a depiction of a real-world object. The system applies a machine learning model to the image to generate a warping field and segmentation mask, the machine learning model trained to establish a relationship between a plurality of training images depicting real-world objects and corresponding ground-truth warping fields and segmentation masks associated with a target shape. The system applies the generated warping field and segmentation mask to the image to warp the real-world object depicted in the image to the target shape.

Abstract: Aspects of the present disclosure involve a system for providing virtual experiences. The system accesses, by a messaging application, an image depicting a person. The system generates, by the messaging application, a three-dimensional (3D) avatar based on the person depicted in the image. The system receives input that selects a pose for the 3D avatar and one or more fashion items to be worn by the 3D avatar and places, by the messaging application, the 3D avatar in the selected pose and wearing the one or more fashion items in an augmented reality (AR) experience.