Invention Grant
- Patent Title: Oil painting stroke simulation using neural network
-
Application No.: US15814751Application Date: 2017-11-16
-
Publication No.: US10424086B2Publication Date: 2019-09-24
- Inventor: Zhili Chen , Zhaowen Wang , Rundong Wu , Jimei Yang
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Finch & Maloney PLLC
- Main IPC: G06T11/00
- IPC: G06T11/00 ; G06T9/00 ; G06T11/40

Abstract:
Oil painting simulation techniques are disclosed which simulate painting brush strokes using a trained neural network. In some examples, a method may include inferring a new height map of existing paint on a canvas after a new painting brush stroke is applied based on a bristle trajectory map that represents the new painting brush stroke and a height map of existing paint on the canvas prior to the application of the new painting brush stroke, and generating a rendering of the new painting brush stroke based on the new height map of existing paint on the canvas after the new painting brush stroke is applied to the canvas and a color map.
Public/Granted literature
- US20190147627A1 OIL PAINTING STROKE SIMULATION USING NEURAL NETWORK Public/Granted day:2019-05-16
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 |