17748739. OBJECT ANIMATION USING NEURAL NETWORKS simplified abstract (NVIDIA Corporation)
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 17748739 titled 'OBJECT ANIMATION USING NEURAL NETWORKS
Simplified Explanation
The abstract describes a patent application for apparatuses, systems, and techniques to generate animations using neural networks to control motion of animated objects based on natural language inputs.
- Neural networks are used to control the motion of animated objects in animations.
- Natural language inputs are utilized to influence the movement of the animated objects.
Potential Applications
This technology could be applied in various industries such as entertainment, advertising, education, and virtual reality to create interactive and engaging animated content.
Problems Solved
This technology solves the problem of efficiently generating animations by using natural language inputs to control the motion of animated objects, making the animation creation process more intuitive and user-friendly.
Benefits
The benefits of this technology include improved workflow efficiency, enhanced user experience, and the ability to quickly create customized animations based on natural language commands.
Potential Commercial Applications
Potential commercial applications of this technology include animation software, virtual reality platforms, educational tools, and advertising platforms that require interactive and dynamic animated content.
Possible Prior Art
One possible prior art could be animation software that uses traditional keyframe animation techniques to create animations without the use of neural networks or natural language inputs.
What are the specific industries that could benefit from this technology?
Various industries such as entertainment, advertising, education, and virtual reality could benefit from this technology by creating interactive and engaging animated content.
How does this technology improve the animation creation process compared to traditional methods?
This technology improves the animation creation process by allowing users to control the motion of animated objects using natural language inputs, making the process more intuitive and user-friendly.
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.