Nvidia corporation (20240095986). OBJECT ANIMATION USING NEURAL NETWORKS simplified abstract
Contents
- 1 OBJECT ANIMATION USING NEURAL NETWORKS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 OBJECT ANIMATION USING 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
OBJECT ANIMATION USING NEURAL NETWORKS
Organization Name
Inventor(s)
Jordan Benjamin Juravsky of Thornhill (CA)
Xue Bin Peng of Vancouver (CA)
OBJECT ANIMATION USING NEURAL NETWORKS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095986 titled 'OBJECT ANIMATION USING NEURAL NETWORKS
Simplified Explanation
The patent application describes apparatuses, systems, and techniques to generate animations using neural networks that control the motion of animated objects based on natural language inputs.
- Neural networks control motion of animated objects based on natural language inputs.
- The animations are generated using the neural networks in at least one embodiment.
Potential Applications
This technology could be applied in various industries such as entertainment, gaming, virtual reality, and education for creating interactive and engaging animations.
Problems Solved
This technology solves the problem of creating animations efficiently and accurately by using natural language inputs to control the motion of animated objects.
Benefits
The benefits of this technology include improved animation creation process, enhanced user experience, and increased flexibility in generating animations based on natural language commands.
Potential Commercial Applications
The potential commercial applications of this technology include animation software development, virtual reality content creation, educational tools, and gaming platforms.
Possible Prior Art
One possible prior art could be the use of neural networks in animation creation processes, but the specific application of controlling motion based on natural language inputs may be a novel approach.
Unanswered Questions
== How does the neural network interpret and process natural language inputs to control the motion of animated objects? The article does not provide detailed information on the specific mechanisms or algorithms used by the neural network to interpret and process natural language inputs for animation control.
== What are the limitations or challenges of using neural networks to generate animations based on natural language inputs? The article does not address any potential limitations or challenges that may arise when implementing this technology, such as accuracy of motion control, training data requirements, or computational resources needed.
Original Abstract Submitted
apparatuses, systems, and techniques to generate animations. in at least one embodiment, one or more neural networks control motion of one or more animated objects based, at least in part, on natural language inputs.
