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Unsupervised Learning for Intrinsic Image Decomposition From a Single Image
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Intrinsic image decomposition, which is an essential task in computer vision, aims to infer the reflectance and shading of the scene. It is challenging since it needs to separate one image into two components. To tackle this, conventional methods introduce various priors to constrain the solution, yet with limited performance. Meanwhile, the problem is typically solved by supervised learning methods, which is actually not an ideal solution since obtaining ground truth reflectance and shadingdoi:10.1109/cvpr42600.2020.00331 dblp:conf/cvpr/LiuLYL20 fatcat:vfawccxj2fgi3ftphievdqvjou