Nvidia corporation (20240193848). TRANSFORMERS AS NEURAL RENDERERS simplified abstract
Contents
- 1 TRANSFORMERS AS NEURAL RENDERERS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TRANSFORMERS AS NEURAL RENDERERS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Machine Learning-Based Object Visualization and Motion Control Technology
- 1.13 Original Abstract Submitted
TRANSFORMERS AS NEURAL RENDERERS
Organization Name
Inventor(s)
Yue Wang of Mountain View CA (US)
Marco Pavone of Stanford CA (US)
TRANSFORMERS AS NEURAL RENDERERS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193848 titled 'TRANSFORMERS AS NEURAL RENDERERS
Simplified Explanation
The patent application describes using machine learning processes to obtain feature values based on locations along a ray intersecting an object. These feature values are used to determine a color value, which is then used to generate a view of the object and determine a path of motion for a device.
Key Features and Innovation
- Utilizes machine learning processes to obtain feature values based on locations along a ray intersecting an object.
- Determines a color value based on the set of feature values.
- Generates a view of the object using the color value.
- Determines a path of motion based on the color value to move a device.
Potential Applications
This technology could be applied in various fields such as:
- Robotics
- Augmented reality
- Computer vision
Problems Solved
- Efficiently obtaining feature values from locations along a ray intersecting an object.
- Generating views of objects based on color values.
- Determining paths of motion for devices using machine learning processes.
Benefits
- Improved object visualization.
- Enhanced device motion control.
- Increased efficiency in data processing.
Commercial Applications
- Title: Machine Learning-Based Object Visualization and Motion Control Technology
- This technology could be used in industries such as robotics, augmented reality, and computer vision for enhanced object visualization and motion control applications.
Prior Art
Readers can start their search for prior art related to this technology by looking into patents or research papers on machine learning-based object visualization and motion control techniques.
Frequently Updated Research
Stay updated on the latest advancements in machine learning processes for object visualization and motion control applications to enhance the efficiency and accuracy of this technology.
Questions about Machine Learning-Based Object Visualization and Motion Control Technology
What are the potential real-world applications of this technology?
This technology could be applied in various fields such as robotics, augmented reality, and computer vision for enhanced object visualization and motion control.
How does this technology improve object visualization and motion control?
By using machine learning processes to obtain feature values and determine color values, this technology enhances object visualization and motion control capabilities.
Original Abstract Submitted
apparatuses, systems, and techniques to use one or more machine learning processes to obtain a set of feature values based at least in part on a set of locations along a ray that intersects an object. a color value is obtained based at least in part on the set of feature values. a view of the object may be generated using the color value. a path of motion may be determined based at least in part on the color value and used to cause a device to move.
