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