International business machines corporation (20240096012). OPTIMIZING COMPUTER-BASED GENERATION OF THREE-DIMENSIONAL VIRTUAL OBJECTS simplified abstract
Contents
- 1 OPTIMIZING COMPUTER-BASED GENERATION OF THREE-DIMENSIONAL VIRTUAL OBJECTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 OPTIMIZING COMPUTER-BASED GENERATION OF THREE-DIMENSIONAL VIRTUAL OBJECTS - 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
OPTIMIZING COMPUTER-BASED GENERATION OF THREE-DIMENSIONAL VIRTUAL OBJECTS
Organization Name
international business machines corporation
Inventor(s)
Jeremy R. Fox of Georgetown TX (US)
Martin G. Keen of Cary NC (US)
Alexander Reznicek of Troy NY (US)
Bahman Hekmatshoartabari of White Plains NY (US)
OPTIMIZING COMPUTER-BASED GENERATION OF THREE-DIMENSIONAL VIRTUAL OBJECTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240096012 titled 'OPTIMIZING COMPUTER-BASED GENERATION OF THREE-DIMENSIONAL VIRTUAL OBJECTS
Simplified Explanation
The present invention aims to improve the generation of virtual objects in a three-dimensional virtual environment by identifying a virtual object based on natural language utterances, generating the object using clip-guided generative latent space analysis, monitoring its usage, inferring human perception data, and generating a utility score based on the human perception data.
- Identification of virtual objects based on natural language utterances
- Generation of virtual objects using clip-guided generative latent space analysis
- Monitoring of virtual object usage in the three-dimensional virtual space
- Inference of human perception data from monitoring
- Generation of utility score for virtual objects based on human perception data
Potential Applications
This technology could be applied in virtual reality gaming, architectural design, virtual prototyping, and virtual training simulations.
Problems Solved
This technology solves the problem of efficiently generating virtual objects in a three-dimensional virtual environment based on natural language input and human perception data.
Benefits
The benefits of this technology include improved user experience, enhanced realism in virtual environments, and more efficient creation of virtual objects.
Potential Commercial Applications
A potential commercial application of this technology could be in the development of virtual reality software for various industries, such as gaming, education, and design.
Possible Prior Art
One possible prior art in this field is the use of machine learning algorithms to generate virtual objects in virtual environments based on user input and feedback.
Unanswered Questions
How does this technology handle ambiguous or unclear natural language utterances?
The technology may struggle with ambiguous or unclear natural language input, leading to potential inaccuracies in the generated virtual objects.
What measures are in place to ensure the privacy and security of human perception data collected during monitoring?
It is essential to address privacy and security concerns regarding the collection and use of human perception data to generate utility scores for virtual objects.
Original Abstract Submitted
in an approach to improve the generation of a virtual object in a three-dimensional virtual environment, embodiments of the present invention identify a virtual object to be generated in a three-dimensional virtual environment based on a natural language utterance. additionally, embodiments generate the virtual object based on a clip-guided generative latent space (clip-gls) analysis, and monitor usage of the generated virtual object in the three-dimensional virtual space. moreover, embodiments infer human perception data from the monitoring, and generate a utility score for the virtual object based on the human perception data.
