High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range
of exposures, which is important in image processing, computer graphics, and computer …

Abstract We present High Dynamic Range Neural Radiance Fields (HDR-NeRF) to recover
an HDR radiance field from a set of low dynamic range (LDR) views with different …

With the popularization of ultra high definition (UHD) high dynamic range (HDR) displays,
recent works focus on upgrading high definition (HD) standard dynamic range (SDR) videos …

Computer vision in unconstrained outdoor scenarios must tackle challenging high dynamic
range (HDR) scenes and rapidly changing illumination conditions. Existing methods …

Taking photos with digital cameras often accompanies saturated pixels due to their limited
dynamic range, and it is far too ill-posed to restore them. Capturing multiple low dynamic …

Deep learning is commonly used to produce impressive results in reconstructing HDR
images from LDR images. LDR stack-based methods are used for single-image HDR …

Current stack-based inverse tone mapping (ITM) methods can recover high dynamic range
(HDR) radiance by predicting a set of multi-exposure images from a single low dynamic …

Abstract Single-exposure High Dynamic Range Imaging (HDRI), as a typical ill-posed
problem, has attracted extensive attention from researchers. However, restoration in real …

Recently, with the rise of high dynamic range (HDR) display devices, there is a great
demand to transfer traditional low dynamic range (LDR) images into HDR versions. The key …

Inverse tone mapping (ITM) aims to reconstruct high dynamic range (HDR) radiance from
low dynamic range (LDR) content. Although many deep image ITM methods can generate …