Light field imaging has emerged as a technology allowing to capture richer visual
information from our world. As opposed to traditional photography, which captures a 2D …

This paper comprehensively reviews the recent development of image deblurring, including
non-blind/blind, spatially invariant/variant deblurring techniques. Indeed, these techniques …

Incorporating smoothness constraints into feature matching is known to enable ultra-robust
matching. However, such formulations are both complex and slow, making them unsuitable …

There has recently been great interest in neural rendering methods. Some approaches use
3D geometry reconstructed with Multi‐View Stereo (MVS) but cannot recover from the errors …

We address the problem of determining correspondences between two images in
agreement with a geometric model such as an affine or thin-plate spline transformation, and …

Self-similarity based super-resolution (SR) algorithms are able to produce visually pleasing
results without extensive training on external databases. Such algorithms exploit the …

Standard digital cameras typically take images with under/overexposed regions because of
their sensors' limited dynamic range. The most common way to capture high dynamic range …

We propose a new technique for visual attribute transfer across images that may have very
different appearance but have perceptually similar semantic structure. By visual attribute …

We present a novel algorithm for view synthesis that utilizes a soft 3D reconstruction to
improve quality, continuity and robustness. Our main contribution is the formulation of a soft …

We propose a simple yet effective structural patch decomposition approach for multi-
exposure image fusion (MEF) that is robust to ghosting effect. We decompose an image …