20230076196. ASYNCHRONOUS MULTI-USER REAL-TIME STREAMING OF WEB-BASED IMAGE EDITS USING GENERATIVE ADVERSARIAL NETWORK(S) simplified abstract (Adobe Inc.)
Contents
- 1 ASYNCHRONOUS MULTI-USER REAL-TIME STREAMING OF WEB-BASED IMAGE EDITS USING GENERATIVE ADVERSARIAL NETWORK(S)
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ASYNCHRONOUS MULTI-USER REAL-TIME STREAMING OF WEB-BASED IMAGE EDITS USING GENERATIVE ADVERSARIAL NETWORK(S) - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Original Abstract Submitted
ASYNCHRONOUS MULTI-USER REAL-TIME STREAMING OF WEB-BASED IMAGE EDITS USING GENERATIVE ADVERSARIAL NETWORK(S)
Organization Name
Inventor(s)
Akhilesh Kumar of San Jose CA (US)
Ratheesh Kalarot of San Jose CA (US)
Baldo Faieta of San Francisco CA (US)
Shabnam Ghadar of Menlo park CA (US)
ASYNCHRONOUS MULTI-USER REAL-TIME STREAMING OF WEB-BASED IMAGE EDITS USING GENERATIVE ADVERSARIAL NETWORK(S) - A simplified explanation of the abstract
This abstract first appeared for US patent application 20230076196 titled 'ASYNCHRONOUS MULTI-USER REAL-TIME STREAMING OF WEB-BASED IMAGE EDITS USING GENERATIVE ADVERSARIAL NETWORK(S)
Simplified Explanation
The present invention is a system for editing images using a web-based intermediary between a user interface on a client device and an image editing neural network on a server. The system supports multiple users in the same software container, advanced concurrency of image projection and transformation, clubbing transformation requests from several users, and smooth display updates during image projection.
- The system allows users to edit images using a web-based interface.
- It uses a neural network, such as a generative adversarial network, for image editing.
- Multiple users can use the system simultaneously within the same software container.
- The system efficiently handles concurrent projection and transformation of the same image.
- It can combine transformation requests from multiple users hosted in the same software container.
- The system provides smooth display updates during the progressive projection of an image.
Potential Applications
- Online image editing platforms
- Collaborative image editing tools
- Image editing software with advanced concurrency features
Problems Solved
- Limited concurrency in image editing software
- Inefficient handling of multiple users in the same software container
- Lack of smooth display updates during image projection
Benefits
- Improved efficiency in image editing processes
- Enhanced collaboration among multiple users
- Real-time display updates for a seamless editing experience
Original Abstract Submitted
embodiments of the present invention provide systems, methods, and computer storage media for editing images using a web-based intermediary between a user interface on a client device and an image editing neural network(s) (e.g., a generative adversarial network) on a server(s). the present image editing system supports multiple users in the same software container, advanced concurrency of projection and transformation of the same image, clubbing transformation requests from several users hosted in the same software container, and smooth display updates during a progressive projection.
