View source for Unity Technologies SF (20240354903). SINGLE-SUBJECT IMAGE GENERATION simplified abstract

=SINGLE-SUBJECT IMAGE GENERATION=


==Organization Name==

[[:Category:Unity Technologies SF|Unity Technologies SF]]


[[Category:Unity Technologies SF]]

==Inventor(s)==

[[:Category:Alexander Robert Reid of Stirling (CA)|Alexander Robert Reid of Stirling (CA)]][[Category:Alexander Robert Reid of Stirling (CA)]]

==SINGLE-SUBJECT IMAGE GENERATION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240354903 titled 'SINGLE-SUBJECT IMAGE GENERATION

The abstract of the patent application describes a method of generating an image using a mask and descriptive text associated with a subject. The mask is resized to fit within a predefined bounding box, centered on a background image, and filled with noise. An image of the subject on a solid background is then generated by a generative AI model in response to a request that includes the noise-filled mask and descriptive text.

* Mask and descriptive text received
* Mask resized and centered on background image
* Mask filled with noise
* Image of subject generated by generative AI model
* Request includes noise-filled mask and descriptive text

Potential Applications:
- Image generation for creative projects
- Automated content creation for marketing purposes
- Enhancing visual storytelling in multimedia projects

Problems Solved:
- Streamlining the process of generating images with specific subjects
- Improving efficiency in creating visual content for various applications

Benefits:
- Time-saving in image generation process
- Consistent quality and style in generated images
- Customizable options for creating unique visuals

Commercial Applications:
Title: Automated Image Generation Technology for Marketing Campaigns
This technology can be used in marketing campaigns to quickly generate custom images for advertisements, social media posts, and other promotional materials. It can help businesses create visually appealing content that resonates with their target audience, leading to increased engagement and brand awareness.

Prior Art:
Further research can be conducted in the field of generative AI models for image generation, as well as techniques for incorporating descriptive text prompts into the process.

Frequently Updated Research:
Stay updated on advancements in generative AI models and image processing techniques to enhance the capabilities of this technology.

Questions about Image Generation Technology:
1. How does this technology compare to traditional methods of image generation?
This technology offers a more streamlined and efficient approach to generating images compared to traditional manual methods. By utilizing AI algorithms, it can quickly produce high-quality visuals based on input parameters.

2. What are the potential limitations of using generative AI models for image generation?
Generative AI models may face challenges in accurately interpreting complex descriptive text prompts or producing realistic images in certain scenarios. Continuous research and development are essential to address these limitations and improve the technology's performance.


==Original Abstract Submitted==

a method of generating an image is disclosed. a mask and descriptive text associated with a subject are received. the descriptive text comprises a text prompt. the mask is resized to fit within a predefined bounding box and the resized mask is centered on a background image. the centered mask is filled with noise. output of an image of the subject on a solid background is received from a generative ai model in response to a passing of a request to the generative ai model. the request includes the noise-filled mask and the descriptive text.



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