- Patent Title: Generating a digital image using a generative adversarial network
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Application No.: US15923347Application Date: 2018-03-16
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Publication No.: US10552714B2Publication Date: 2020-02-04
- Inventor: Mohammadhadi Kiapour , Shuai Zheng , Robinson Piramuthu , Omid Poursaeed
- Applicant: eBay Inc.
- Applicant Address: US CA San Jose
- Assignee: eBay Inc.
- Current Assignee: eBay Inc.
- Current Assignee Address: US CA San Jose
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/66 ; G06K9/62 ; G06K9/32 ; G06Q30/06 ; G06F16/532 ; G06F16/583 ; G06F16/9535

Abstract:
Various embodiments described herein utilize multiple levels of generative adversarial networks (GANs) to facilitate generation of digital images based on user-provided images. Some embodiments comprise a first generative adversarial network (GAN) and a second GAN coupled to the first GAN, where the first GAN includes an image generator and at least two discriminators, and the second GAN includes an image generator and at least one discriminator. According to some embodiments, the (first) image generator of the first GAN is trained by processing a user-provided image using the first GAN. For some embodiments, the user-provided image and the first generated image, generated by processing the user-provided image using the first GAN, are combined to produce a combined image. For some embodiments, the (second) image generator of the second GAN is trained by processing the combined image using the second GAN.
Public/Granted literature
- US20190286950A1 GENERATING A DIGITAL IMAGE USING A GENERATIVE ADVERSARIAL NETWORK Public/Granted day:2019-09-19
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