Patent ID: 11861772
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. In a digital medium environment, a method implemented by a computing device, the method comprising:
receiving, by a candidate module, input data describing a first digital image that depicts a person in a pose and a second digital image that depicts a garment;
generating, by a generator module, prior data describing body-part segmentation masks, where the body-part segmentation masks segment portions of a geometry of the person in the pose in the first digital image independent of garments worn by the person;
computing, by the candidate module, candidate appearance flow maps that warp the garment based on the pose at different pixel-block sizes using a first machine learning model;
generating, by a combination module, a warped garment image by combining the candidate appearance flow maps as an aggregate per-pixel displacement map using a convolutional gated recurrent network, the aggregate per-pixel displacement map warps pixels depicting portions of the garment to align with the pose;
predicting, by a segment module, a conditional segmentation mask by processing the body-part segmentation masks described by the prior data and the second digital image using a second machine learning model, where the conditional segmentation mask segments portions of the geometry of the person and conditions the body-part segmentation masks based on the second digital image; and
outputting, by an output module, a digital image that depicts the person in the pose wearing the garment based on the warped garment image and the conditional segmentation mask using a third machine learning model.