Google llc (20240202987). Platform for Enabling Multiple Users to Generate and Use Neural Radiance Field Models simplified abstract
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Platform for Enabling Multiple Users to Generate and Use Neural Radiance Field Models
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Platform for Enabling Multiple Users to Generate and Use Neural Radiance Field Models - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240202987 titled 'Platform for Enabling Multiple Users to Generate and Use Neural Radiance Field Models
The patent application describes systems and methods for enabling users to generate and utilize neural radiance field models.
- Obtaining user image data and training neural radiance field models based on the data.
- Obtaining user images depicting objects of a particular object type.
- Utilizing trained neural radiance field models for view synthesis image generation of the particular user objects.
Potential Applications: - Virtual reality applications - Augmented reality experiences - 3D modeling and rendering software
Problems Solved: - Enhancing user-generated content with realistic 3D models - Improving the quality of virtual experiences
Benefits: - Enhanced user creativity and expression - Realistic and immersive virtual environments - Streamlined 3D modeling processes
Commercial Applications: Title: "Enhancing Virtual Experiences with Neural Radiance Field Models" This technology can be used in industries such as gaming, entertainment, architecture, and e-commerce to create realistic and interactive virtual experiences for users.
Questions about Neural Radiance Field Models: 1. How do neural radiance field models improve the quality of virtual experiences? Neural radiance field models enhance virtual experiences by generating realistic 3D models based on user image data, creating immersive environments for users to interact with.
2. What are the potential applications of neural radiance field models beyond virtual reality? Neural radiance field models can also be used in fields such as medical imaging, industrial design, and robotics for generating realistic 3D models and simulations.
Original Abstract Submitted
systems and methods for enabling users to generate and utilize neural radiance field models can include obtaining user image data and training one or more neural radiance field models based on the user image data. the systems and methods can include obtaining user images based on a determination that the user images depicted objects of a particular object type. the trained neural radiance field models can then be utilized for view synthesis image generation of the particular user objects.
