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

Claim 9:
10. A system comprising:
a candidate module implemented at least partially in hardware of a computing device to:
receive input data describing a first digital image that depicts a person in a pose and a second digital image that depicts a garment; and
compute candidate appearance flow maps that warp the garment based on the pose at different pixel-block sizes using a first convolutional network;

a generator module implemented at least partially in the hardware of the computing device to generate 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;
a combination module implemented at least partially in the hardware of the computing device to generate 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;
a segment module implemented at least partially in the hardware of the computing device to predict a conditional segmentation mask by processing the body-part segmentation masks described by the prior data and the second digital image using a second convolutional network, 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
an output module implemented at least partially in the hardware of the computing device to output a digital image depicting the person in the pose wearing the garment based on the warped garment image and the conditional segmentation mask using a third convolutional network.