Google llc (20240249456). GENERATING IMAGES USING SEQUENCES OF GENERATIVE NEURAL NETWORKS simplified abstract

GENERATING IMAGES USING SEQUENCES OF GENERATIVE NEURAL NETWORKS

Organization Name

google llc

Inventor(s)

Chitwan Saharia of Toronto (CA)

William Chan of Toronto (CA)

Mohammad Norouzi of Richmond Hill (CA)

Saurabh Saxena of Mississauga (CA)

Yi Li of Oakville (CA)

Jay Ha Whang of Austin TX (US)

David James Fleet of Toronto (CA)

Jonathan Ho of New York NY (US)

GENERATING IMAGES USING SEQUENCES OF GENERATIVE NEURAL NETWORKS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240249456 titled 'GENERATING IMAGES USING SEQUENCES OF GENERATIVE NEURAL NETWORKS

Simplified Explanation

The patent application describes a method for generating images based on a text prompt. It involves using neural networks to process the text prompt and generate an image that corresponds to the description in the text.

• The method receives a text prompt in natural language.
• It processes the text prompt using a text encoder neural network to create contextual embeddings.
• These embeddings are then processed through a series of generative neural networks to produce a final image depicting the scene described in the text prompt.

Key Features and Innovation

• Utilizes neural networks to generate images from text prompts.
• Incorporates text encoder and generative neural networks for image creation.
• Enables the generation of images based on natural language descriptions.

Potential Applications

This technology can be used in various applications such as:

• Content generation for storytelling or visual representation.
• Automated image creation for design or art projects.
• Assistive technology for individuals with visual impairments.

Problems Solved

• Streamlines the process of generating images from text descriptions.
• Enhances the efficiency and accuracy of image creation based on textual input.

Benefits

• Simplifies the image generation process for users.
• Provides a visual representation of text prompts.
• Offers a versatile tool for creative and practical applications.

Commercial Applications

Title: Automated Image Generation Technology This technology has potential commercial uses in:

• Content creation platforms for media and entertainment industries.
• Design and advertising agencies for quick visual mock-ups.
• Accessibility tools for visually impaired individuals in various industries.

Prior Art

Readers interested in prior art related to this technology can explore research on neural network-based image generation and natural language processing techniques.

Frequently Updated Research

Stay updated on advancements in neural network technologies and image generation methods to enhance the capabilities of this technology.

Questions about Image Generation Technology

How does this technology improve the process of image creation from text prompts?

This technology streamlines the image generation process by using neural networks to interpret and translate text descriptions into visual representations efficiently.

What are the potential limitations of using neural networks for image generation based on text prompts?

One potential limitation could be the accuracy of translating complex or abstract text descriptions into coherent and accurate visual images. Ongoing research and advancements in neural network algorithms aim to address these challenges.

Original Abstract Submitted

methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating images. in one aspect, a method includes: receiving an input text prompt including a sequence of text tokens in a natural language; processing the input text prompt using a text encoder neural network to generate a set of contextual embeddings of the input text prompt; and processing the contextual embeddings through a sequence of generative neural networks to generate a final output image that depicts a scene that is described by the input text prompt.