The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 16, 2024
Filed:
Sep. 07, 2021
Adobe Inc., San Jose, CA (US);
Wei-An Lin, San Jose, CA (US);
Baldo Faieta, San Francisco, CA (US);
Cameron Smith, Santa Cruz, CA (US);
Elya Shechtman, Seattle, WA (US);
Jingwan Lu, Santa Clara, CA (US);
Jun-Yan Zhu, San Jose, CA (US);
Niloy Mitra, London, GB;
Ratheesh Kalarot, San Jose, CA (US);
Richard Zhang, San Francisco, CA (US);
Shabnam Ghadar, Menlo Park, CA (US);
Zhixin Shu, San Jose, CA (US);
Adobe Inc., San Jose, CA (US);
Abstract
Systems and methods generate a filtering function for editing an image with reduced attribute correlation. An image editing system groups training data into bins according to a distribution of a target attribute. For each bin, the system samples a subset of the training data based on a pre-determined target distribution of a set of additional attributes in the training data. The system identifies 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, obtains a latent space representation of an input image, applies the filtering vector to the latent space representation of the input image to generate a filtered latent space representation of the input image, and provides the filtered latent space representation as input to a neural network to generate an output image with a modification to the target attribute.