公开(公告)号：US20250078397A1

公开(公告)日：2025-03-06

申请号：US18823613

申请日：2024-09-03

Applicant: Google LLC

Inventor： Abhimitra Meka ,  Marcel Bühler ,  Kripasindhu Sarkar ,  Tanmay Shah ,  Gengyan Li ,  Daoye Wang ,  Leonhard Helminger ,  Sergio Orts Escolano ,  Dmitry Lagun ,  Thabo Beeler

IPC: G06T15/20 ,  G06T5/60

Abstract: A method including determining a viewpoint, generating a first image using an image generator, the first image including an object in a first orientation based on the viewpoint, modifying the image generator based on a second orientation of the object, and generating a second image based on the first image using the modified image generator.

公开(公告)号：US20240428500A1

公开(公告)日：2024-12-26

申请号：US18338060

申请日：2023-06-20

Applicant: Google LLC

Inventor： Tanmay Shah ,  Vishal Vinod ,  Dmitry Lagun

IPC: G06T15/04 ,  G06T7/70 ,  G06T17/00

Abstract: Provided are systems and methods for creating 3D representations from one or more images of objects. It involves training a machine-learned correspondence network to convert 3D locations of pixels into a 2D canonical coordinate space. This network can map texture values from ground truth or synthetic images of the object into the 2D space, creating a texture data set. When a new synthetic image is generated from a specific pose, the 3D locations can be mapped into the 2D space, allowing texture values to be retrieved and applied to the new image. The system also enables users to edit the texture data, facilitating texture edits and transfers across objects.