Tencent Technology (Shenzhen) Company Limited (20240331257). ANIMATION DATA GENERATION simplified abstract
Contents
ANIMATION DATA GENERATION
Organization Name
Tencent Technology (Shenzhen) Company Limited
Inventor(s)
ANIMATION DATA GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331257 titled 'ANIMATION DATA GENERATION
Simplified Explanation: This patent application describes a method and apparatus for generating animation data using a trained neural network, which can be applied to various scenarios such as cloud technology, artificial intelligence, gaming, and virtual reality. The neural network generates animation data for virtual objects in a scene based on their features, eliminating the need for storing massive data and improving query performance.
- **Key Features and Innovation:**
- Utilizes a trained neural network to generate animation data for virtual objects in a scene. - Eliminates the need for storing massive data in internal memory during animation data generation. - Improves query performance by only requiring storage of weight data related to the neural network. - Occupies only a small internal memory, avoiding issues related to large memory occupation.
- **Potential Applications:**
- Cloud technology - Artificial intelligence - Intelligent transportation - Assisted driving - Digital human - Virtual human - Gaming - Virtual reality - Extended reality (XR)
- **Problems Solved:**
- Avoids large internal memory occupation during animation data generation. - Improves query performance for matching animations. - Reduces the need for storing massive data in internal memory.
- **Benefits:**
- Efficient generation of animation data. - Improved query performance. - Reduced internal memory occupation.
- **Commercial Applications:**
- Animation software development - Virtual reality gaming industry - Artificial intelligence applications
- **Questions about Animation Data Generation:**
1. How does the trained neural network improve the efficiency of animation data generation?
- The trained neural network uses features of virtual objects to generate animation data, eliminating the need for storing massive data and improving query performance.
2. What are the potential commercial applications of this technology?
- This technology can be applied in animation software development, virtual reality gaming, and various artificial intelligence applications.
Original Abstract Submitted
this application describes an animation data generation method and apparatus, and a related product, which may be applied to scenarios such as a cloud technology, artificial intelligence (ai), intelligent transportation, assisted driving, digital human, virtual human, gaming, virtual reality, and extended reality (xr). features of a virtual object in a virtual scene are obtained, and animation data of the virtual object is generated through a trained neural network based on the features. the use of the neural network omits storage of massive data into an internal memory and query of the massive data for a matched animation during generation of the animation data, and only requires storage of weight data related to the neural network in advance. therefore, only a small internal memory is occupied, thereby avoiding problems such as large internal memory occupation and poor query performance during generation of the animation data.
