Invention Grant
- Patent Title: Generation of controlled attribute-based images
-
Application No.: US16778906Application Date: 2020-01-31
-
Publication No.: US11176713B2Publication Date: 2021-11-16
- Inventor: Shradha Agrawal , Deepak Pai , Dhanya Raghu
- Applicant: ADOBE INC.
- Applicant Address: US CA San Jose
- Assignee: ADOBE INC.
- Current Assignee: ADOBE INC.
- Current Assignee Address: US CA San Jose
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06T11/00
- IPC: G06T11/00 ; G06K9/62

Abstract:
Embodiments of the present disclosure are directed towards generating images conditioned on a desired attribute. In particular, an attribute-based image generation system can use a directional-GAN architecture to generate images conditioned on a desired attribute. A latent vector and a desired attribute are received. A feature subspace is determined for the latent vector using a latent-attribute linear classifier trained to determine a relationship between the latent vector and the desired attribute. An image is generated using the latent vector such that the image contains the desired attribute. In embodiments, where the feature space differs from a desired feature subspace, a directional vector is applied to the latent vector that shifts the latent vector from the feature subspace to the desired feature subspace. This modified latent vector is then used during generation of the image.
Public/Granted literature
- US20210241497A1 GENERATION OF CONTROLLED ATTRIBUTE-BASED IMAGES Public/Granted day:2021-08-05
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T11/00 | 2D〔二维〕图像的生成 |