In this work, we address the task of SDR videos to HDR videos (SDRTV-to-HDRTV
conversion). Previous approaches use global feature modulation for SDRTV-to-HDRTV …

In media industry, the demand of SDR-to-HDRTV up-conversion arises when users possess
HDR-WCG (high dynamic range-wide color gamut) TVs while most off-the-shelf footage is …

High dynamic range (HDR) image is widely-used in graphics and photography due to the
rich information it contains. Recently the community has started using deep neural network …

Despite the breakthroughs in accuracy and efficiency of object detection using deep neural
networks, the performance of small object detection is far from satisfactory. Gaze estimation …

This study is the first attempt to generate a three-dimensional (3D) coronal electron density
distribution based on the pix2pixHD model, whose computing time is much shorter than that …

To capture the real-world luminance values, High Dynamic Range (HDR) image processing
has been developed. HDR images have a richer content than the widely-used Standard …

Inverse tone map** technique is widely used to restore the lost textures from a single low
dynamic range image. Recently, many stack‐based deep inverse tone map** networks …

Here we greatly improve artificial intelligence (AI)–generated solar farside magnetograms
using data sets from the Solar Terrestrial Relations Observatory (STEREO) and Solar …

The increased interest in consumer-grade high dynamic range (HDR) images and videos in
recent years has caused a proliferation of HDR deghosting algorithms. Despite numerous …

HDR (High Dynamic Range) video can reproduce realistic scenes more realistically, with a
wider gamut and broader brightness range. HDR video resources are still scarce, and most …