18190636. SYNTHESIZING A MODIFIED DIGITAL IMAGE UTILIZING A REPOSING MODEL simplified abstract (Adobe Inc.)

SYNTHESIZING A MODIFIED DIGITAL IMAGE UTILIZING A REPOSING MODEL

Organization Name

Adobe Inc.

Inventor(s)

Krishna Kumar Singh of San Jose CA (US)

Yijun Li of Seattle WA (US)

Jingwan Lu of Santa Clara CA (US)

Duygu Ceylan Aksit of Mountain View CA (US)

Yangtuanfeng Wang of London (GB)

Jimei Yang of Merced CA (US)

Tobias Hinz of Ulm (DE)

SYNTHESIZING A MODIFIED DIGITAL IMAGE UTILIZING A REPOSING MODEL - A simplified explanation of the abstract

This abstract first appeared for US patent application 18190636 titled 'SYNTHESIZING A MODIFIED DIGITAL IMAGE UTILIZING A REPOSING MODEL

The present disclosure involves systems, methods, and computer-readable media that use artificial intelligence for scene-based editing of digital images.

• Utilizes generative machine learning models to modify digital images depicting human subjects.
• Performs infill modifications or human inpainting to complete or enhance digital images.
• Reposes subjects within digital images to create modified versions.
• Enables facial expression transfer and animations for human subjects in digital images.

• • Potential Applications:**

This technology can be used in the fields of photography, graphic design, and entertainment industry for creating enhanced and modified digital images.

• • Problems Solved:**

This technology addresses the need for efficient and effective editing of digital images, especially those portraying human subjects, by utilizing AI-powered tools.

• • Benefits:**

The technology allows for quick and accurate modifications to digital images, enhancing creativity and productivity in image editing tasks.

• • Commercial Applications:**

"AI-Powered Scene-Based Editing for Digital Images: Market Implications and Commercial Uses"

• • Prior Art:**

There have been advancements in AI-based image editing tools, but the specific focus on scene-based editing using image understanding is a unique aspect of this technology.

• • Frequently Updated Research:**

Stay updated on the latest research in AI-powered image editing tools and techniques to enhance the capabilities of this technology.

• • Questions about AI-Powered Scene-Based Editing for Digital Images:**

1. How does this technology compare to traditional image editing methods? 2. What are the potential ethical considerations when using AI for modifying digital images?

Original Abstract Submitted

The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.