Nvidia corporation (20240161403). HIGH RESOLUTION TEXT-TO-3D CONTENT CREATION simplified abstract

HIGH RESOLUTION TEXT-TO-3D CONTENT CREATION

Organization Name

nvidia corporation

Inventor(s)

Chen-Hsuan Lin of Santa Clara CA (US)

Tsung-Yi Lin of Sunnyvale CA (US)

Ming-Yu Liu of San Jose CA (US)

Sanja Fidler of Toronto (CA)

Karsten Kreis of Vancouver (CA)

Luming Tang of New York NY (US)

Xiaohui Zeng of Toronto (CA)

Jun Gao of Toronto (CA)

Xun Huang of Mountain View CA (US)

Towaki Takikawa of Toronto (CA)

HIGH RESOLUTION TEXT-TO-3D CONTENT CREATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240161403 titled 'HIGH RESOLUTION TEXT-TO-3D CONTENT CREATION

Simplified Explanation

The abstract describes a patent application for a process and architecture for high-resolution text-to-3D content creation, addressing limitations in current AI-based solutions for text-to-3D content creation.

• The patent application focuses on generating high-resolution 3D content from text prompts.
• Current AI-based solutions for text-to-3D content creation are often category-dependent or produce low-resolution results.
• The innovation aims to provide a more advanced and versatile approach to text-to-3D content creation.

Potential Applications

The technology could be applied in industries such as gaming, virtual reality, architecture, and animation for creating realistic 3D content based on text descriptions.

Problems Solved

The technology addresses limitations in current AI-based solutions for text-to-3D content creation, providing a more advanced and high-resolution approach to generating 3D content from text prompts.

Benefits

The benefits of this technology include the ability to generate high-resolution and detailed 3D content from text descriptions, enhancing the quality and realism of generated images.

Potential Commercial Applications

The technology could be commercially applied in industries such as entertainment, advertising, and design for creating high-quality 3D content based on text inputs.

Possible Prior Art

One possible prior art could be existing AI-based solutions for text-to-image generation, which may have limitations in generating high-resolution 3D content from text prompts.

How does the technology handle complex text descriptions for 3D content creation?

The technology's ability to interpret and translate complex text descriptions into high-resolution 3D content is not explicitly mentioned in the abstract.

What computational resources are required for implementing this text-to-3D content creation process?

The abstract does not provide information on the computational resources needed to implement the high-resolution text-to-3D content creation process.

Original Abstract Submitted

text-to-image generation generally refers to the process of generating an image from one or more text prompts input by a user. while artificial intelligence has been a valuable tool for text-to-image generation, current artificial intelligence-based solutions are more limited as it relates to text-to-3d content creation. for example, these solutions are oftentimes category-dependent, or synthesize 3d content at a low resolution. the present disclosure provides a process and architecture for high-resolution text-to-3d content creation.