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REAL-TIME SELFIE PERSPECTIVE UNDISTORTION ON MOBILES BY IM2IM TRANSLATION

发明专利审中
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20权利要求 · 3 独立
§ Ⅰ

卷宗概要

发明人

Jian Wang; Haiwei Chen; Sizhuo Ma; Gurunandan Krishnan Gorumkonda

IPC 分类

G6T 5/80G6T 3/18G6T 15/20G6T 17/

CPC 分类

G6T5/80G6T3/18G6T15/20G6T17/G6T2200/4G6T2207/20081G6T2207/30201

A network and method for correcting perspective distortion of a selfie image captured with a short camera-to-face distance by processing the selfie image and generating an undistorted selfie image appearing to be taken with a longer camera-to-face distance. A pre-trained three-dimension (3D) face generative adversarial network (GAN), such as an Efficient Geometry-aware three-dimensional (EG3D), is used to generate training data. The processing pipeline is composed of two parts, a warping network and a translation network, where the warping network outputs the backward warping guidance. Backwards warping is performed on the selfie image to generate a backwards warped image, and the backwards warped image is translated to generate a face image with details fixed to obtain the final image with reduced or no image distortion.

原文(中文)

A network and method for correcting perspective distortion of a selfie image captured with a short camera-to-face distance by processing the selfie image and generating an undistorted selfie image appearing to be taken with a longer camera-to-face distance. A pre-trained three-dimension (3D) face generative adversarial network (GAN), such as an Efficient Geometry-aware three-dimensional (EG3D), is used to generate training data. The processing pipeline is composed of two parts, a warping network and a translation network, where the warping network outputs the backward warping guidance. Backwards warping is performed on the selfie image to generate a backwards warped image, and the backwards warped image is translated to generate a face image with details fixed to obtain the final image with reduced or no image distortion.