公开(公告)号：US11721007B2

公开(公告)日：2023-08-08

申请号：US17982842

申请日：2022-11-08

Applicant: Google LLC

Inventor： Kfir Aberman ,  Yotam Nitzan ,  Orly Liba ,  Yael Pritch Knaan ,  Qiurui He ,  Inbar Mosseri ,  Yossi Gandelsman ,  Michal Yarom

IPC: G06T5/00 ,  G06T5/50 ,  G06T3/40

CPC classification number: G06T5/50 ,  G06T3/40 ,  G06T5/001 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Systems and methods for identifying a personalized prior within a generative model's latent vector space based on a set of images of a given subject. In some examples, the present technology may further include using the personalized prior to confine the inputs of a generative model to a latent vector space associated with the given subject, such that when the model is tasked with editing an image of the subject (e.g., to perform inpainting to fill in masked areas, improve resolution, or deblur the image), the subject's identifying features will be reflected in the images the model produces.

公开(公告)号：US20230222636A1

公开(公告)日：2023-07-13

申请号：US17982842

申请日：2022-11-08

Applicant: Google LLC

Inventor： Kfir Aberman ,  Yotam Nitzan ,  Orly Liba ,  Yael Pritch Knaan ,  Qiurui He ,  Inbar Mosseri ,  Yossi Gandelsman ,  Michal Yarom

IPC: G06T5/50 ,  G06T3/40 ,  G06T5/00

CPC classification number: G06T5/50 ,  G06T3/40 ,  G06T5/001 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Systems and methods for identifying a personalized prior within a generative model's latent vector space based on a set of images of a given subject. In some examples, the present technology may further include using the personalized prior to confine the inputs of a generative model to a latent vector space associated with the given subject, such that when the model is tasked with editing an image of the subject (e.g., to perform inpainting to fill in masked areas, improve resolution, or deblur the image), the subject's identifying features will be reflected in the images the model produces.

公开(公告)号：US20250069194A1

公开(公告)日：2025-02-27

申请号：US18946147

申请日：2024-11-13

Applicant: Google LLC

Inventor： Kfir Aberman ,  Yotam Nitzan ,  Orly Liba ,  Yael Pritch Knaan ,  Qiurui He ,  Inbar Mosseri ,  Yossi Gandelsman ,  Michal Yarom

IPC: G06T5/50 ,  G06T3/40 ,  G06T5/00

Abstract: Systems and methods for identifying a personalized prior within a generative model's latent vector space based on a set of images of a given subject. In some examples, the present technology may further include using the personalized prior to confine the inputs of a generative model to a latent vector space associated with the given subject, such that when the model is tasked with editing an image of the subject (e.g., to perform inpainting to fill in masked areas, improve resolution, or deblur the image), the subject's identifying features will be reflected in the images the model produces.

公开(公告)号：US12169911B2

公开(公告)日：2024-12-17

申请号：US18334700

申请日：2023-06-14

Applicant: Google LLC

Inventor： Kfir Aberman ,  Yotam Nitzan ,  Orly Liba ,  Yael Pritch Knaan ,  Qiurui He ,  Inbar Mosseri ,  Yossi Gandelsman ,  Michal Yarom

IPC: G06T5/00 ,  G06T3/40 ,  G06T5/50

Abstract: Systems and methods for identifying a personalized prior within a generative model's latent vector space based on a set of images of a given subject. In some examples, the present technology may further include using the personalized prior to confine the inputs of a generative model to a latent vector space associated with the given subject, such that when the model is tasked with editing an image of the subject (e.g., to perform inpainting to fill in masked areas, improve resolution, or deblur the image), the subject's identifying features will be reflected in the images the model produces.

公开(公告)号：US20230325998A1

公开(公告)日：2023-10-12

申请号：US18334700

申请日：2023-06-14

Applicant: Google LLC

Inventor： Kfir Aberman ,  Yotam Nitzan ,  Orly Liba ,  Yael Pritch Knaan ,  Qiurui He ,  Inbar Mosseri ,  Yossi Gandelsman ,  Michal Yarom

IPC: G06T5/50 ,  G06T5/00 ,  G06T3/40

CPC classification number: G06T5/50 ,  G06T5/001 ,  G06T3/40 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Systems and methods for identifying a personalized prior within a generative model's latent vector space based on a set of images of a given subject. In some examples, the present technology may further include using the personalized prior to confine the inputs of a generative model to a latent vector space associated with the given subject, such that when the model is tasked with editing an image of the subject (e.g., to perform inpainting to fill in masked areas, improve resolution, or deblur the image), the subject's identifying features will be reflected in the images the model produces.