18169444. IMAGE GENERATION USING A DIFFUSION MODEL simplified abstract (Adobe Inc.)

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IMAGE GENERATION USING A DIFFUSION MODEL

Organization Name

Adobe Inc.

Inventor(s)

Nicholas Isaac Kolkin of San Francisco CA (US)

Elya Shechtman of Seattle WA (US)

IMAGE GENERATION USING A DIFFUSION MODEL - A simplified explanation of the abstract

This abstract first appeared for US patent application 18169444 titled 'IMAGE GENERATION USING A DIFFUSION MODEL

Simplified Explanation: The patent application describes systems and methods for generating modified images based on original images and target prompts using a diffusion model.

  • Key Features and Innovation:
   * Obtaining an original image and a target prompt for modification.
   * Computing first and second outputs using a diffusion model.
   * Generating a modified image based on the difference between the outputs.

Potential Applications: This technology could be used in image editing software, artistic applications, and automated design systems.

Problems Solved: This technology streamlines the process of modifying images based on specific prompts, enhancing creativity and efficiency in image generation.

Benefits: The technology allows for quick and accurate modifications to images, enabling users to easily create new variations and designs.

Commercial Applications: The technology could be applied in graphic design software, online image editing tools, and virtual reality applications for enhanced visual experiences.

Prior Art: Prior art related to this technology may include image processing algorithms, machine learning models for image generation, and artistic style transfer techniques.

Frequently Updated Research: Research on improving the accuracy and speed of image modification using diffusion models may be relevant to this technology.

Questions about Image Generation:

  • Question 1: How does the diffusion model used in this technology differ from other image generation models?
  • Question 2: What are some potential challenges in implementing this technology in real-time image editing applications?


Original Abstract Submitted

Systems and methods for image generation are provided. An aspect of the systems and methods for image generation includes obtaining an original image depicting an element and a target prompt describing a modification to the element. The system may then compute a first output and a second output using a diffusion model. The first output is based on a description of the element and the second output is based on the target prompt. The system then computes a difference between the first output and the second output, and generates a modified image including the modification to the element of the original image based on the difference.

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