Patent ID: 11875221
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method comprising:
obtaining training data;
grouping the training data into a plurality of bins according to a distribution of a target attribute in the training data;
for each bin, of the plurality of bins, sampling a subset of the training data in the bin to generate sampled training data based on a pre-determined target distribution of a set of additional attributes in the training data;
identifying a direction in the sampled training data corresponding to the distribution of the target attribute to generate a filtering vector for modifying the target attribute in an input image;
obtaining a latent space representation of an input image;
applying the filtering vector to the latent space representation of the input image to generate a filtered latent space representation of the input image; and
providing the filtered latent space representation as input to a neural network to generate an output image with a modification to the target attribute.