Single Image Deraining: From Model-Based to Data-Driven and Beyond

Single Image Deraining using Scale-Aware Multi-Stage Recurrent Network

Given a single input rainy image, our goal is to visually remove rain streaks and the veiling effect caused by scattering and transmission of rain streaks and rain droplets. We are particularly concerned with heavy rain, where rain streaks of various sizes and directions can overlap each other and the veiling effect reduces contrast severely. To achieve our goal, we introduce a scale-aware mult...

Data-driven Depth Inference from a Single Still Image

Given an indoor image, how to recover its depth information from one single image? This problem has been studied before for many years. But previous research mainly focused on using manually designed features, heuristics, or structure information. Lacking enough training data limits the methods that can be used to deal with this problem. However, with Kinect, it is now much cheaper to get groun...

Model-driven indoor scenes modeling from a single image

In this paper, we present a new approach of 3D indoor scenes modeling on single image. With a single input indoor image (including sofa, tea table, etc.), a 3D scene can be reconstructed using existing model library in two stages: image analysis and model retrieval. In the image analysis stage, we obtain the object information from input image using geometric reasoning technology combined with ...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data