Invention Grant
- Patent Title: Material map identification and augmentation
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Application No.: US17332708Application Date: 2021-05-27
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Publication No.: US11488342B1Publication Date: 2022-11-01
- Inventor: Kalyan Krishna Sunkavalli , Yannick Hold-Geoffroy , Milos Hasan , Zexiang Xu , Yu-Ying Yeh , Stefano Corazza
- 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, LLP
- Main IPC: G06T15/04
- IPC: G06T15/04 ; G06T15/00 ; G06K9/62 ; G06N3/04

Abstract:
Embodiments of the technology described herein, make unknown material-maps in a Physically Based Rendering (PBR) asset usable through an identification process that relies, at least in part, on image analysis. In addition, when a desired material-map type is completely missing from a PBR asset the technology described herein may generate a suitable synthetic material map for use in rendering. In one aspect, the correct map type is assigned using a machine classifier, such as a convolutional neural network, which analyzes image content of the unknown material map and produce a classification. The technology described herein also correlates material maps into material definitions using a combination of the material-map type and similarity analysis. The technology described herein may generate synthetic maps to be used in place of the missing material maps. The synthetic maps may be generated using a Generative Adversarial Network (GAN).
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 |
G06T15/04 | .纹理映射 |