View source for Lemon Inc. (20240242452). TEXT TO 3D AVATARS simplified abstract

=TEXT TO 3D AVATARS=


==Organization Name==

[[:Category:Lemon Inc.|Lemon Inc.]]


[[Category:Lemon Inc.]]

==Inventor(s)==

[[:Category:Tiancheng Zhi of Los Angeles CA (US)|Tiancheng Zhi of Los Angeles CA (US)]][[Category:Tiancheng Zhi of Los Angeles CA (US)]]

[[:Category:Rushikesh Dudhat of Los Angeles CA (US)|Rushikesh Dudhat of Los Angeles CA (US)]][[Category:Rushikesh Dudhat of Los Angeles CA (US)]]

[[:Category:Jing Liu of Los Angeles CA (US)|Jing Liu of Los Angeles CA (US)]][[Category:Jing Liu of Los Angeles CA (US)]]

[[:Category:Linjie Luo of Los Angeles CA (US)|Linjie Luo of Los Angeles CA (US)]][[Category:Linjie Luo of Los Angeles CA (US)]]

==TEXT TO 3D AVATARS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240242452 titled 'TEXT TO 3D AVATARS

'''Simplified Explanation''': 

The patent application describes a method to create three-dimensional avatars by stylizing a dataset of images based on a user-input text prompt and using it to train a 3D generative adversarial network model.

* Using a stable diffusion model to stylize a dataset of images based on user-input text prompts.
* Training an efficient geometry-aware 3D generative adversarial network model using the stylized dataset of images.
* Generating three-dimensional avatars based on the user's input text prompt.

'''Potential Applications''':
This technology can be used in virtual reality applications, gaming, personalized content creation, and digital marketing.

'''Problems Solved''':
This technology streamlines the process of creating personalized three-dimensional avatars based on text prompts, making it more efficient and accessible.

'''Benefits''':
The technology allows for the creation of unique and customized three-dimensional avatars, enhancing user engagement and personalization in various applications.

'''Commercial Applications''':
The technology can be utilized in the entertainment industry for character creation, in marketing for personalized advertising, and in virtual reality for immersive experiences.

'''Questions about three-dimensional avatars''':
1. How does this technology improve the process of creating personalized avatars?
2. What are the potential implications of using 3D avatars in virtual reality applications?

'''Frequently Updated Research''':
Stay updated on advancements in 3D avatar creation techniques, improvements in generative adversarial network models, and applications of personalized content creation in various industries.


==Original Abstract Submitted==

three-dimensional (3d) avatars may be produced by stylizing a dataset of images based on a user-input text prompt input to a stable diffusion model, and using the output stylized dataset of images to train an efficient geometry-aware 3d generative adversarial network (eg3d) model.



[[Category:G06T19/20]]
[[Category:A63F13/52]]
[[Category:G06N3/045]]
[[Category:G06N3/0475]]
[[Category:G06N3/094]]
[[Category:G06T17/00]]
[[Category:CPC_G06T19/20]]