公开(公告)号：US20250029214A1

公开(公告)日：2025-01-23

申请号：US18389908

申请日：2023-12-20

Applicant: SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION

Inventor： Se Young CHUN ,  Dong Won PARK ,  Byung Hyun LEE

IPC: G06T5/70 ,  G06T5/20 ,  G06T5/73 ,  G06T7/00 ,  G06V20/70

Abstract: The present disclosure provides an all-in-one image quality improvement model providing method, which restores quality of images degraded due to multiple image quality degradation factors and is performed by a server, including collecting low-quality images of which image quality is degraded due to at least one of the multiple image quality degradation factors and determining an image quality degradation factor that is a cause of image quality degradation of a corresponding image, constructing an integrated restoration network and a single restoration network to restore the low-quality images with respect to the determined image quality degradation factors.

公开(公告)号：US20250061545A1

公开(公告)日：2025-02-20

申请号：US18534243

申请日：2023-12-08

Applicant: SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION

Inventor： Se Young CHUN ,  Gwanghyun KIM

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.