Invention Grant
- Patent Title: View synthesis robust to unconstrained image data
-
Application No.: US17722969Application Date: 2022-04-18
-
Publication No.: US11704844B2Publication Date: 2023-07-18
- Inventor: Daniel Christopher Duckworth , Alexey Dosovitskiy , Ricardo Martin Brualla , Jonathan Tilton Barron , Noha Waheed Ahmed Radwan , Seyed Mohammad Mehdi Sajjadi
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: Dority & Manning, P.A.
- Main IPC: G06T11/00
- IPC: G06T11/00 ; G06T7/90

Abstract:
Provided are systems and methods for synthesizing novel views of complex scenes (e.g., outdoor scenes). In some implementations, the systems and methods can include or use machine-learned models that are capable of learning from unstructured and/or unconstrained collections of imagery such as, for example, “in the wild” photographs. In particular, example implementations of the present disclosure can learn a volumetric scene density and radiance represented by a machine-learned model such as one or more multilayer perceptrons (MLPs).
Public/Granted literature
- US20220237834A1 View Synthesis Robust to Unconstrained Image Data Public/Granted day:2022-07-28
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T11/00 | 2D〔二维〕图像的生成 |