公开(公告)号：US20240320912A1

公开(公告)日：2024-09-26

申请号：US18611236

申请日：2024-03-20

Applicant: Google LLC

Inventor： Yuanzhen Li ,  Amit Raj ,  Varun Jampani ,  Benjamin Joseph Mildenhall ,  Benjamin Michael Poole ,  Jonathan Tilton Barron ,  Kfir Aberman ,  Michael Niemeyer ,  Michael Rubinstein ,  Nataniel Ruiz Gutierrez ,  Shiran Elyahu Zada ,  Srinivas Kaza

IPC: G06T17/00 ,  H04N13/279 ,  H04N13/351

CPC classification number: G06T17/00 ,  H04N13/279 ,  H04N13/351

Abstract: A fractional training process can be performed training images to an instance of a machine-learned generative image model to obtain a partially trained instance of the model. A fractional optimization process can be performed with the partially trained instance to an instance of a machine-learned three-dimensional (3D) implicit representation model obtain a partially optimized instance of the model. Based on the plurality of training images, pseudo multi-view subject images can be generated with the partially optimized instance of the 3D implicit representation model and a fully trained instance of the generative image model; The partially trained instance of the model can be trained with a set of training data. The partially optimized instance of the machine-learned 3D implicit representation model can be trained with the machine-learned multi-view image model.

公开(公告)号：US20240296596A1

公开(公告)日：2024-09-05

申请号：US18569844

申请日：2023-08-23

Applicant: Google LLC

Inventor： Kfir Aberman ,  Nataniel Ruiz Gutierrez ,  Michael Rubinstein ,  Yuanzhen Li ,  Yael Pritch Knaan ,  Varun Jampani

IPC: G06T11/00 ,  G06V10/764

CPC classification number: G06T11/00 ,  G06V10/764 ,  G06V2201/07

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a text-to-image model so that the text-to-image model generates images that each depict a variable instance of an object class when the object class without the unique identifier is provided as a text input, and that generates images that each depict a same subject instance of the object class when the unique identifier is provided as the text input.