Reflection is common when we see through a glass window, which not only visual disturbance but also influences the performance of computer vision algorithms. Removing reflection from single image, however, highly ill-posed since color at each pixel needs to be separated into two values belonging clear background and reflection, respectively. To solve this, existing methods use additional priors...

Image smoothing is a fundamental low-level vision task that aims to preserve salient structures of an image while removing insignificant details. Deep learning has been explored in deal with the complex entanglement semantic and trivial However, current methods neglect two important facts smoothing: 1) naive pixel-level regression supervised by limited number high-quality ground-truth could lea...