View source for 17895793. GENERATING TEXTURED MESHES USING ONE OR MORE NEURAL NETWORKS simplified abstract (NVIDIA Corporation)

=GENERATING TEXTURED MESHES USING ONE OR MORE NEURAL NETWORKS=


==Organization Name==

[[:Category:NVIDIA Corporation|NVIDIA Corporation]]


[[Category:NVIDIA Corporation]]

==Inventor(s)==

[[:Category:Jun Gao of Markham (CA)|Jun Gao of Markham (CA)]][[Category:Jun Gao of Markham (CA)]]

[[:Category:Tianchang Shen of Markham (CA)|Tianchang Shen of Markham (CA)]][[Category:Tianchang Shen of Markham (CA)]]

[[:Category:Zan Gojcic of Schlieren (CH)|Zan Gojcic of Schlieren (CH)]][[Category:Zan Gojcic of Schlieren (CH)]]

[[:Category:Wenzheng Chen of Toronto (CA)|Wenzheng Chen of Toronto (CA)]][[Category:Wenzheng Chen of Toronto (CA)]]

[[:Category:Zian Wang of Toronto (CA)|Zian Wang of Toronto (CA)]][[Category:Zian Wang of Toronto (CA)]]

[[:Category:Daiqing Li of Oakville (CA)|Daiqing Li of Oakville (CA)]][[Category:Daiqing Li of Oakville (CA)]]

[[:Category:Or Litany of Sunnyvale CA (US)|Or Litany of Sunnyvale CA (US)]][[Category:Or Litany of Sunnyvale CA (US)]]

[[:Category:Sanja Fidler of Toronto (CA)|Sanja Fidler of Toronto (CA)]][[Category:Sanja Fidler of Toronto (CA)]]

==GENERATING TEXTURED MESHES USING ONE OR MORE NEURAL NETWORKS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17895793 titled 'GENERATING TEXTURED MESHES USING ONE OR MORE NEURAL NETWORKS

==Simplified Explanation==

The patent application describes a method for generating digital content using neural networks to create textured three-dimensional meshes based on two-dimensional images of objects.

* Neural networks are utilized to generate three-dimensional meshes from two-dimensional images.
* The meshes created correspond to objects in the images.
* Textures are applied to the meshes to enhance realism and detail.

== Potential Applications ==
This technology could be applied in various industries such as:
* Virtual reality and augmented reality for realistic object rendering.
* Video game development for creating detailed 3D models.
* Architectural visualization for accurate representation of buildings and structures.

== Problems Solved ==
This innovation addresses the following issues:
* Simplifying the process of creating detailed 3D models from 2D images.
* Enhancing the realism and accuracy of digital content generation.
* Streamlining the workflow for artists and designers in various fields.

== Benefits ==
The benefits of this technology include:
* Faster and more efficient creation of 3D models.
* Improved realism and detail in digital content.
* Enhanced visualization and presentation of objects and scenes.

== Potential Commercial Applications ==
The potential commercial applications of this technology include:
* Software development for 3D modeling and rendering.
* Entertainment industry for creating visual effects in movies and animations.
* E-commerce for showcasing products in a more realistic and interactive manner.

== Possible Prior Art ==
One possible prior art for this technology could be the use of traditional 3D modeling software that requires manual input to create textured meshes from 2D images.


==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.



[[Category:G06T17/20]]