18232279. HIGH RESOLUTION TEXT-TO-3D CONTENT CREATION simplified abstract (NVIDIA Corporation)

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 18232279 titled 'HIGH RESOLUTION TEXT-TO-3D CONTENT CREATION

Simplified Explanation

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

• The patent application focuses on improving text-to-3D content creation by providing a process and architecture for generating high-resolution 3D content from text prompts.
• The innovation aims to overcome limitations such as category-dependency and low resolution in current AI-based text-to-3D solutions.
• By optimizing the text-to-3D content creation process, the patent application seeks to enhance the quality and realism of generated 3D content.

Potential Applications

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

Problems Solved

The technology addresses the limitations of current AI-based solutions for text-to-3D content creation, such as category-dependency and low resolution, by providing a process and architecture for high-resolution text-to-3D content generation.

Benefits

The benefits of this technology include the ability to generate high-resolution and realistic 3D content from text prompts, enhancing the quality and realism of generated 3D models for various applications.

Potential Commercial Applications

The technology could be commercially applied in industries such as gaming, virtual reality, augmented reality, and animation for creating high-quality 3D content from text descriptions, catering to a wide range of users and applications.

Possible Prior Art

One possible prior art in this field is the use of 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 compare to existing text-to-3D content creation solutions in terms of efficiency and accuracy?

The patent application does not provide a direct comparison to existing solutions in terms of efficiency and accuracy, leaving room for further analysis and evaluation of the technology's performance in relation to current methods.

What are the potential challenges or limitations of implementing this technology in real-world applications?

The patent application does not address potential challenges or limitations of implementing the technology in real-world applications, leaving unanswered questions about practical considerations and feasibility of deployment.

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.