Neural network-based image shading on image/video editing applications

Computing systems and methods for neural network based image shading are provided. A computing system obtains a reference color image by selective application of color effects on a region of interest of an input image and controls a display device to display a first node graph on a graphical user in...

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Main Authors GARG PANKAJ, LYONS, GARY, R, STONEHAM ANDREW, LEE JONG-HWA, VASCONCELOS, LUIS, TAFFRA MICHAEL, LANGLEY ANTHONY, KIM SUNG-HAN
Format Patent
LanguageChinese
English
Published 02.12.2022
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Summary:Computing systems and methods for neural network based image shading are provided. A computing system obtains a reference color image by selective application of color effects on a region of interest of an input image and controls a display device to display a first node graph on a graphical user interface of an image/video editing application. The first node graph includes shading nodes representing a first workflow for shading at least a first object in a grayscale image of the first image feed. The computing system selects a reference color image based on user input and performs a first workflow associated with a shading node by feeding the reference color image and a first image feed as input to a neural network-based shading model. The computing system receives a second image feed comprising the shaded image as an output for the input of the neural network-based shading model. 提供了用于基于神经网络的图像着色的计算系统和方法。计算系统通过输入图像的感兴趣区域上的颜色效果的选择性应用来获得参考彩色图像,并控制显示设备在图像/视频编辑应用程序的图形用户界面上显示第一节点图。第一节点图包括表示用于对第一图像馈送的灰度图像中的至少第一物体
Bibliography:Application Number: CN202180030086