This paper proposes a technical review of exemplar-based inpainting approaches with a
particular focus on greedy methods. Several comparative and illustrative experiments are …

Sparse coding has been widely applied to learning-based single image super-resolution
(SR) and has obtained promising performance by jointly learning effective representations …

Nonlocal texture similarity and local intensity smoothness are both essential for solving most
image inpainting problems. In this paper, we propose a novel image inpainting algorithm …

Video super-resolution is currently one of the most active research topics in computer vision
as it plays an important role in many visual applications. Generally, video super-resolution …

We propose a novel video inpainting algorithm that simultaneously hallucinates missing
appearance and motion (optical flow) information, building upon the recent'Deep Image …

Most of existing inpainting techniques require to know beforehandwhere those damaged
pixels are, ie, non-blind inpainting methods. However, in many applications, such …

In this paper, we propose a new video inpainting method which applies to both static or free-
moving camera videos. The method can be used for object removal, error concealment, and …

In this paper, we present a novel structure-guided framework for exemplar-based image
inpainting to maintain the neighborhood consistence and structure coherence of an …

Rain and snow are two of the major obstacles in processing the photograph captured in the
outdoor bad weather conditions. Rain and snow will cause the performance of vision …

Scene editing methods are undergoing a revolution, driven by text-to-image synthesis
methods. Applications in media content generation have benefited from a careful set of …