公开(公告)号：US20200151508A1

公开(公告)日：2020-05-14

申请号：US16186382

申请日：2018-11-09

Applicant: Adobe Inc.

Inventor： Jimei Yang ,  Jianming Zhang ,  Aaron Phillip Hertzmann ,  Jianan Li

IPC: G06K9/62 ,  G06T11/60

Abstract: Digital image layout training is described using wireframe rendering within a generative adversarial network (GAN) system. A GAN system is employed to train the generator module to refine digital image layouts. To do so, a wireframe rendering discriminator module rasterizes a refined digital training digital image layout received from a generator module into a wireframe digital image layout. The wireframe digital image layout is then compared with at least one ground truth digital image layout using a loss function as part of machine learning by the wireframe discriminator module. The generator module is then trained by backpropagating a result of the comparison.

公开(公告)号：US10997464B2

公开(公告)日：2021-05-04

申请号：US16186382

申请日：2018-11-09

Applicant: Adobe Inc.

Inventor： Jimei Yang ,  Jianming Zhang ,  Aaron Phillip Hertzmann ,  Jianan Li

IPC: G06K9/00 ,  G06K9/62 ,  G06T11/60 ,  G06T9/00 ,  G06K9/72

Abstract: Digital image layout training is described using wireframe rendering within a generative adversarial network (GAN) system. A GAN system is employed to train the generator module to refine digital image layouts. To do so, a wireframe rendering discriminator module rasterizes a refined digital training digital image layout received from a generator module into a wireframe digital image layout. The wireframe digital image layout is then compared with at least one ground truth digital image layout using a loss function as part of machine learning by the wireframe discriminator module. The generator module is then trained by backpropagating a result of the comparison.