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Lossless intrinsic image decomposition via learning shading feature filtering

Hao Sha Yu Han Yi Xiao Tong Liu Yue Liu Weitao Song

计算可视媒体（英文）2025，Vol.11Issue(2)：305-325,21.

计算可视媒体（英文）2025，Vol.11Issue(2)：305-325,21.DOI:10.26599/CVM.2025.9450378

Lossless intrinsic image decomposition via learning shading feature filtering

Hao Sha ¹Yu Han ¹Yi Xiao ¹Tong Liu ¹Yue Liu ²Weitao Song¹

作者信息

1. Beijing Engineering Research Center of Mixed Reality and Advanced Display,School of Optics and Photonics,Beijing Institute of Technology,Beijing 100081,China
2. Beijing Engineering Research Center of Mixed Reality and Advanced Display,School of Optics and Photonics,Beijing Institute of Technology,Beijing 100081,China||Zhengzhou Research Institute,Beijing Institute of Technology,Zhengzhou 450000,China
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摘要

关键词

intrinsic image decomposition/computer graphics/image editing/convolutional neural network

Key words

intrinsic image decomposition/computer graphics/image editing/convolutional neural network

引用本文复制引用

Hao Sha,Yu Han,Yi Xiao,Tong Liu,Yue Liu,Weitao Song..Lossless intrinsic image decomposition via learning shading feature filtering[J].计算可视媒体（英文）,2025,11(2):305-325,21.

基金项目

This study was supported by the Science and Technology Innovation 2030-Major Project of"New Generation Artificial Intelligence"(No.2022ZD0115901)and the National Natural Science Foundation of China(No.62332003). （No.2022ZD0115901）

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