Invention Application
- Patent Title: DIVERSITY-PRESERVED DOMAIN ADAPTATION USING TEXT-TO-IMAGE DIFFUSION FOR 3D GENERATIVE MODEL
-
Application No.: US18534243Application Date: 2023-12-08
-
Publication No.: US20250061545A1Publication Date: 2025-02-20
- Inventor: Se Young CHUN , Gwanghyun KIM
- Applicant: SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
- Applicant Address: KR Seoul
- Assignee: SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
- Current Assignee: SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
- Current Assignee Address: KR Seoul
- Priority: KR10-2023-0107395 20230817
- Main IPC: G06T5/60
- IPC: G06T5/60 ; G06T5/20 ; G06T5/50 ; G06T7/80 ; G06T19/20

Abstract:
An embodiment of the present disclosure provides a three-dimensional image generation method, which is performed by a server and is capable of domain adaptation, including generating N target images corresponding to a second domain by converting styles of previously collected N source images corresponding to a first domain according to instructions of an input text, selecting only a target image that satisfies a preset condition among the N target images, and generating multiple three-dimensional images corresponding to a specific domain through certain noise data and a preset camera pose parameter by training a three-dimensional generation model, which is previously built, by using the selected target image.
Information query