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:
Jun. 10, 2025
Filed:
Jul. 23, 2021
Adobe Inc., San Jose, CA (US);
Ratheesh Kalarot, San Jose, CA (US);
Wei-An Lin, San Jose, CA (US);
Cameron Smith, Santa Cruz, CA (US);
Zhixin Shu, San Jose, CA (US);
Baldo Faieta, San Francisco, CA (US);
Shabnam Ghadar, Menlo Park, CA (US);
Jingwan Lu, Santa Clara, CA (US);
Aliakbar Darabi, Seattle, WA (US);
Jun-Yan Zhu, San Jose, CA (US);
Niloy Mitra, London, GB;
Richard Zhang, San Francisco, CA (US);
Elya Shechtman, Seattle, WA (US);
Adobe Inc., San Jose, CA (US);
Abstract
Systems and methods train and apply a specialized encoder neural network for fast and accurate projection into the latent space of a Generative Adversarial Network (GAN). The specialized encoder neural network includes an input layer, a feature extraction layer, and a bottleneck layer positioned after the feature extraction layer. The projection process includes providing an input image to the encoder and producing, by the encoder, a latent space representation of the input image. Producing the latent space representation includes extracting a feature vector from the feature extraction layer, providing the feature vector lo the bottleneck layer as input, and producing the latent space representation as output. The latent space representation produced by the encoder is provided as input to the GAN, which generates an output image based upon the latent space representation.