Invention Grant
- Patent Title: Generating physically-based material maps
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Application No.: US17233861Application Date: 2021-04-19
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Publication No.: US11663775B2Publication Date: 2023-05-30
- Inventor: Akshat Dave , Kalyan Krishna Sunkavalli , Yannick Hold-Geoffroy , Milos Hasan
- Applicant: ADOBE INC.
- Applicant Address: US CA San Jose
- Assignee: Adobe, Inc.
- Current Assignee: Adobe, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06T15/50
- IPC: G06T15/50 ; G06T15/00 ; G06N3/08 ; G06T15/04

Abstract:
Methods, system, and computer storage media are provided for generating physical-based materials for rendering digital objects with an appearance of a real-world material. Images depicted the real-world material, including diffuse component images and specular component images, are captured using different lighting patterns, which may include area lights. From the captured images, approximations of one or more material maps are determined using a photometric stereo technique. Based on the approximations and the captured images, a neural network system generates a set of material maps, such as a diffuse albedo material map, a normal material map, a specular albedo material map, and a roughness material map. The material maps from the neural network may be optimized based on a comparison of the input images of the real-world material and images rendered from the material maps.
Public/Granted literature
- US20220335682A1 GENERATING PHYSICALLY-BASED MATERIAL MAPS Public/Granted day:2022-10-20
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 |
G06T15/00 | 3D〔三维〕图像的加工 |
G06T15/50 | .发光效果 |