Single image low light enhancement is an important task and it has many practical
applications. Most existing methods adopt a single image approach. Although their …

Scarcity of labeled data has motivated the development of semi-supervised learning
methods, which learn from large portions of unlabeled data alongside a few labeled …

We introduce a method to convert stereo 360^ ∘ (omnidirectional stereo) imagery into a
layered, multi-sphere image representation for six degree-of-freedom (6DoF) rendering …

Applying image processing algorithms independently to each video frame often leads to
temporal inconsistency in the resulting video. To address this issue, we present a novel and …

In recent years, neural style transfer has attracted more and more attention, especially for
image style transfer. However, temporally consistent style transfer for videos is still a …

We propose a novel framework for video inpainting by adopting an internal learning
strategy. Unlike previous methods that use optical flow for cross-frame context propagation …

Moire patterns, appearing as color distortions, severely degrade the image and video
qualities when filming a screen with digital cameras. Considering the increasing demands …

Applying an image processing algorithm independently to each video frame often leads to
temporal inconsistency in the resulting video. To address this issue, we present a novel and …

Video colorization is a challenging and highly ill-posed problem. Although recent years have
witnessed remarkable progress in single image colorization, there is relatively less research …

Recently, Deep Learning-based methods for inverse tone mapping standard dynamic range
(SDR) images to obtain high dynamic range (HDR) images have become very popular …