18360919. CUSTOM CONTENT GENERATION simplified abstract (Adobe Inc.)
Contents
CUSTOM CONTENT GENERATION
Organization Name
Inventor(s)
Shradha Agrawal of Milpitas CA (US)
Debraj Debashish Basu of Sunnyvale CA (US)
Deepak Pai of Sunnyvale CA (US)
Nimish Srivastav of Santa Clara CA (US)
Meghanath Macha of San Jose CA (US)
Ambareesh Revanur of San Jose CA (US)
CUSTOM CONTENT GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18360919 titled 'CUSTOM CONTENT GENERATION
Simplified Explanation: The patent application describes systems and methods for document processing that involve identifying a theme and an input image of a product, generating an output image based on the input image using an image generation model trained to be consistent with a brand, generating text based on the product and theme using a text generation model, and creating custom content consistent with the brand and theme based on the output image and text.
Key Features and Innovation:
- Identification of theme and input image of a product
- Generation of output image based on input image using image generation model
- Text generation based on product and theme
- Creation of custom content consistent with brand and theme
Potential Applications: The technology can be applied in marketing, advertising, e-commerce, and content creation industries.
Problems Solved: This technology streamlines the process of creating visually appealing and brand-consistent content for products.
Benefits:
- Efficient content creation process
- Consistent branding across different materials
- Enhanced visual representation of products
Commercial Applications: The technology can be used in digital marketing campaigns, online product listings, and social media content creation to enhance brand image and attract customers.
Prior Art: Prior art related to this technology may include research on image and text generation models in the field of artificial intelligence and machine learning.
Frequently Updated Research: Researchers may be exploring advancements in image and text generation models to improve the accuracy and efficiency of content creation processes.
Questions about document processing: 1. How does the technology ensure consistency with the brand in generated content? 2. What are the potential challenges in implementing this technology in different industries?
Original Abstract Submitted
Systems and methods for document processing are provided. One aspect of the systems and methods includes identifying a theme and an input image of a product. Another aspect of the systems and methods includes generating an output image depicting the product and the theme based on the input image using an image generation model that is trained to generate images consistent with a brand. Another aspect of the systems and methods includes generating text based on the product and the theme using a text generation model. Another aspect of the systems and methods includes generating custom content consistent with the brand and the theme based on the output image and the text.
