Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
We introduce a new approach to intrinsic image decomposition, the task of decomposing a single image into albedo and shading components. Our strategy, which we term direct intrinsics, is to learn a convolutional neural network (CNN) that directly predicts output albedo and shading channels from an input RGB image patch. …