Patent ID: 11900558
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. A computer-implemented method comprising:
generating a depth map and a segmentation mask for a real two-dimensional (2D) image depicting a digital object;
utilizing a three-dimensional (3D)-object-reconstruction-machine-learning model to generate a predicted signed distance function based on the depth map and the segmentation mask;
performing a step for determining a depth differential among points in a spatial representation of the real 2D image according to the predicted signed distance function; and
modifying one or more learned parameters of the 3D-object-reconstruction-machine-learning model according to the depth differential by:
determining a loss between ground truth signed distance function values and predicted signed distance function values utilizing a loss function; and
modifying the one or more learned parameters of the 3D-object-reconstruction-machine-learning model based on the loss.