Lossless intrinsic image decomposition via learning shading feature filteringOA
Lossless intrinsic image decomposition via learning shading feature filtering
Hao Sha;Yu Han;Yi Xiao;Tong Liu;Yue Liu;Weitao Song
Beijing Engineering Research Center of Mixed Reality and Advanced Display,School of Optics and Photonics,Beijing Institute of Technology,Beijing 100081,ChinaBeijing Engineering Research Center of Mixed Reality and Advanced Display,School of Optics and Photonics,Beijing Institute of Technology,Beijing 100081,ChinaBeijing Engineering Research Center of Mixed Reality and Advanced Display,School of Optics and Photonics,Beijing Institute of Technology,Beijing 100081,ChinaBeijing Engineering Research Center of Mixed Reality and Advanced Display,School of Optics and Photonics,Beijing Institute of Technology,Beijing 100081,ChinaBeijing 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,ChinaBeijing Engineering Research Center of Mixed Reality and Advanced Display,School of Optics and Photonics,Beijing Institute of Technology,Beijing 100081,China
intrinsic image decompositioncomputer graphicsimage editingconvolutional neural network
intrinsic image decompositioncomputer graphicsimage editingconvolutional neural network
《计算可视媒体（英文）》 2025 (2)
305-325,21
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).
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