Nvidia corporation (20240096017). GENERATING TEXTURED MESHES USING ONE OR MORE NEURAL NETWORKS simplified abstract
Contents
- 1 GENERATING TEXTURED MESHES USING ONE OR MORE NEURAL NETWORKS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 GENERATING TEXTURED MESHES USING ONE OR MORE NEURAL NETWORKS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
GENERATING TEXTURED MESHES USING ONE OR MORE NEURAL NETWORKS
Organization Name
Inventor(s)
Tianchang Shen of Markham (CA)
Or Litany of Sunnyvale CA (US)
GENERATING TEXTURED MESHES USING ONE OR MORE NEURAL NETWORKS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240096017 titled 'GENERATING TEXTURED MESHES USING ONE OR MORE NEURAL NETWORKS
Simplified Explanation
The abstract describes a patent application for apparatuses, systems, and techniques used to generate digital content using neural networks to create textured three-dimensional meshes based on two-dimensional images of objects.
- Neural networks are utilized to generate textured three-dimensional meshes from two-dimensional images.
- The technology involves creating digital content based on objects using advanced algorithms.
- The innovation allows for the transformation of flat images into detailed three-dimensional representations.
Potential Applications
The technology could be applied in various industries such as gaming, virtual reality, and animation for creating realistic and detailed digital content.
Problems Solved
This technology solves the problem of efficiently creating three-dimensional models from two-dimensional images, streamlining the content creation process.
Benefits
The benefits of this technology include faster content generation, improved accuracy in creating three-dimensional models, and enhanced visual quality in digital content.
Potential Commercial Applications
The technology could be commercially used in the entertainment industry for creating realistic characters and environments in movies, video games, and virtual reality experiences.
Possible Prior Art
One possible prior art could be the use of traditional 3D modeling software to manually create three-dimensional models from two-dimensional images.
Unanswered Questions
How does this technology compare to traditional methods of creating three-dimensional models from images?
This article does not provide a direct comparison between this technology and traditional methods of creating three-dimensional models from images.
What are the limitations of using neural networks for generating three-dimensional meshes from images?
The article does not address any potential limitations or challenges associated with using neural networks for this specific application.
Original Abstract Submitted
apparatuses, systems, and techniques are presented to generate digital content. in at least one embodiment, one or more neural networks are used to generate one or more textured three-dimensional meshes corresponding to one or more objects based, at least in part, one or more two-dimensional images of the one or more objects.
