Patent ID: 11967015
Assignee: APPLE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 18:
19. A non-transitory machine-readable medium comprising code that, when executed by a processor, causes the processor to:
provide an input image depicting a view of an object to a machine learning model, wherein the machine learning model utilizes shear rotation and has been trained based on at least two input training images depicting different views of a training object and a constraint of equivariance under rotations, the constraint comprising a comparison of a first implicit representation of the training object to a rotated version of a second implicit representation of the training object and a comparison of the second implicit representation to a rotated version of the first implicit representation; and
generate, using the machine learning model and based on the provided input image, at least one of an output image that depicts the object from a rotated view that is different from the view of the object in the input image, or a three-dimensional representation of the object.