公开(公告)号：US11710287B2

公开(公告)日：2023-07-25

申请号：US17309817

申请日：2020-08-04

Applicant: GOOGLE LLC

Inventor： Ricardo Martin Brualla ,  Daniel Goldman ,  Sofien Bouaziz ,  Rohit Kumar Pandey ,  Matthew Brown

IPC: G06T19/20 ,  G06T15/00 ,  G06T15/04 ,  G06T15/50 ,  G06V10/94

CPC classification number: G06T19/20 ,  G06T15/005 ,  G06T15/04 ,  G06T15/506 ,  G06V10/95 ,  G06T2219/2012 ,  G06T2219/2021

Abstract: Systems and methods are described for generating a plurality of three-dimensional (3D) proxy geometries of an object, generating, based on the plurality of 3D proxy geometries, a plurality of neural textures of the object, the neural textures defining a plurality of different shapes and appearances representing the object, providing the plurality of neural textures to a neural renderer, receiving, from the neural renderer and based on the plurality of neural textures, a color image and an alpha mask representing an opacity of at least a portion of the object, and generating a composite image based on the pose, the color image, and the alpha mask.

公开(公告)号：US20190206026A1

公开(公告)日：2019-07-04

申请号：US15859992

申请日：2018-01-02

Applicant: Google LLC

Inventor： Raviteja Vemulapalli ,  Matthew Brown ,  Seyed Mohammad Mehdi Sajjadi

IPC: G06T3/40 ,  G06T3/00 ,  G06T7/246 ,  G06T5/50 ,  G06N99/00

CPC classification number: G06T3/4053 ,  G06N20/00 ,  G06T3/0093 ,  G06T3/4046 ,  G06T5/50 ,  G06T7/248 ,  G06T2207/20081

Abstract: The present disclosure provides systems and methods to increase resolution of imagery. In one example embodiment, a computer-implemented method includes obtaining a current low-resolution image frame. The method includes obtaining a previous estimated high-resolution image frame, the previous estimated high-resolution frame being a high-resolution estimate of a previous low-resolution image frame. The method includes warping the previous estimated high-resolution image frame based on the current low-resolution image frame. The method includes inputting the warped previous estimated high-resolution image frame and the current low-resolution image frame into a machine-learned frame estimation model. The method includes receiving a current estimated high-resolution image frame as an output of the machine-learned frame estimation model, the current estimated high-resolution image frame being a high-resolution estimate of the current low-resolution image frame.

公开(公告)号：US10783611B2

公开(公告)日：2020-09-22

申请号：US15859992

申请日：2018-01-02

Applicant: Google LLC

Inventor： Raviteja Vemulapalli ,  Matthew Brown ,  Seyed Mohammad Mehdi Sajjadi

IPC: G06T3/40 ,  G06T3/00 ,  G06T5/50 ,  G06T7/246 ,  G06N20/00

Abstract: The present disclosure provides systems and methods to increase resolution of imagery. In one example embodiment, a computer-implemented method includes obtaining a current low-resolution image frame. The method includes obtaining a previous estimated high-resolution image frame, the previous estimated high-resolution frame being a high-resolution estimate of a previous low-resolution image frame. The method includes warping the previous estimated high-resolution image frame based on the current low-resolution image frame. The method includes inputting the warped previous estimated high-resolution image frame and the current low-resolution image frame into a machine-learned frame estimation model. The method includes receiving a current estimated high-resolution image frame as an output of the machine-learned frame estimation model, the current estimated high-resolution image frame being a high-resolution estimate of the current low-resolution image frame.