Multiple-image super-resolution (MISR) attempts to recover a high-resolution (HR) image from a set of lowresolution (LR) images. In this paper, we present a mobile MISR tailored to work for a wide range of mobile devices. Our technique aims to address misalignment issues from a...

Inpainting is the process of replacing areas in an image with a perceptually plausible substitution. A common technique is to iteratively match and fill small patches at the edge of the target region making use of similar patches from the same image. Nearly all inpainting ...

In the computer vision field, semantic segmentation represents a very interesting task. Convolutional Neural Network methods have shown their great performances in comparison with other semantic segmentation methods. In this paper, we propose a multiscale fully convolutional DenseNet approach for ...

Manipulating digital optical material representations is still a difficult problem because arbitrary manipulations lead almost certainly to an unrealistic impression of the material. In this paper we present an approach to material editing based on a digital model of the V1-area of the&...

We propose a technique to reconstruct a general 3D object using surface reflectance information from multiple viewpoints. Our core optimization framework uses multi-view normal integration, which can recovers water-tight surface of the object iteratively in a coarse to fine manner. The integ...

Real-time rendering for 3D point clouds allows for interactively exploring and inspecting real-world assets, sites, or regions on a broad range of devices but has to cope with their vastly different computing capabilities. Virtual reality (VR) applications rely on high frame rates (i.e....

An occlusion-aware framework is proposed to robustly estimate the disparities of light field images. It is mainly realized by leveraging multiple edge cues to occlusion detection and then integrate it with local costs into an energy function. To check the performance, the quantitative&#...