In recent years, many deep learning techniques have been applied to the image inpainting
problem: the task of filling incomplete regions of an image. However, these models struggle …

We propose a method for automatically guiding patch-based image completion using mid-
level structural cues. Our method first estimates planar projection parameters, softly …

Jigsaw puzzle solving has recently become an emerging research area. The developed
techniques have been widely used in applications beyond puzzle solving. This paper …

We present a technique for estimating the relative 3D rotation of an RGB image pair in an
extreme setting, where the images have little or no overlap. We observe that, even when …

Correspondence between images is a fundamental problem in computer vision, with a
variety of graphics applications. This paper presents a novel method for sparse cross …

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 …

Filling a small hole in an image with plausible content is well studied. Extrapolating an
image to give a distinctly larger one is much more challenging—a significant amount of …

The problem of the restoration of broken artifacts, where large parts could be missing, is of
high importance in archaeology. The typical manual restoration can become a tedious and …

This paper focuses on the re-assembly of an archaeological artifact, given images of its
fragments. This problem can be considered as a special challenging case of puzzle solving …

Rigid registration of partial observations is a fundamental problem in various applied fields.
In computer graphics, special attention has been given to the registration between two …