Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution
depth map from a low-resolution observation with the help of a paired high-resolution color …

Tone‐map** constitutes a key component within the field of high dynamic range (HDR)
imaging. Its importance is manifested in the vast amount of tone‐map** methods that can …

Recent style transfer models have provided promising artistic results. However, given a
photograph as a reference style, existing methods are limited by spatial distortions or …

This paper introduces a deep-learning approach to photographic style transfer that handles
a large variety of image content while faithfully transferring the reference style. Our approach …

Photorealistic image stylization concerns transferring style of a reference photo to a content
photo with the constraint that the stylized photo should remain photorealistic. While several …

We present an approach to accelerating a wide variety of image processing operators. Our
approach uses a fully-convolutional network that is trained on input-output pairs that …

In order to achieve perceptually better fusion of infrared (IR) and visible images than
conventional pixel-level fusion algorithms based on multi-scale decomposition (MSD), we …

Image processing and pixel-wise dense prediction have been advanced by harnessing the
capabilities of deep learning. One central issue of deep learning is the limited capacity to …

We present a new image editing method, particularly effective for sharpening major edges
by increasing the steepness of transition while eliminating a manageable degree of low …

In this paper, we propose a novel explicit image filter called guided filter. Derived from a
local linear model, the guided filter computes the filtering output by considering the content …