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

Claim 6:
7. A system comprising:
one or more memory devices comprising real two-dimensional (2D) images and a three-dimensional (3D)-object-reconstruction-machine-learning model; and
one or more processors configured to cause the system to:
determine a predicted depth map and a segmentation mask for a real 2D image depicting a digital object;
generate, utilizing the 3D-object-reconstruction-machine-learning model, a predicted signed distance function based on the predicted depth map and the segmentation mask;
pull a query point in a spatial representation of the real 2D image towards a surface depth point in the spatial representation by moving the query point to a pulled point according to the predicted signed distance function;
determine a depth differential between the pulled point and the surface depth point in the spatial representation; and
modify one or more learned parameters of the 3D-object-reconstruction-machine-learning model based on 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.