Invention Grant
- Patent Title: Tunable generative adversarial networks
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Application No.: US15908737Application Date: 2018-02-28
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Publication No.: US10699161B2Publication Date: 2020-06-30
- Inventor: Ramya Malur Srinivasan , Ajay Chander
- Applicant: FUJITSU LIMITED
- Applicant Address: JP Kawasaki
- Assignee: FUJITSU LIMITED
- Current Assignee: FUJITSU LIMITED
- Current Assignee Address: JP Kawasaki
- Agency: Maschoff Brennan
- Main IPC: G06K9/62
- IPC: G06K9/62

Abstract:
A method of tuning a generative model may be provided. A method may include receiving, at a first generative adversarial network (GAN), a first input identifying an item and at least one user-defined attribute for the item. The method may also include generating, via the first GAN, a first image of the item based on the first input. Further, the method may include receiving, at a second GAN, the first image and a second input indicative of a desire for more or less of the at least one user-defined attribute. Moreover, the method may include generating, via the second GAN, a second image of the item based on the first image and the second input.
Public/Granted literature
- US20190266442A1 TUNABLE GENERATIVE ADVERSARIAL NETWORKS Public/Granted day:2019-08-29
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