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 …

Steep increases in air temperatures and CO 2 emissions have been associated with the
global demand for energy. This is coupled with population growth and improved living …

In typical cameras the optical system is designed first; once it is fixed, the parameters in the
image processing algorithm are tuned to get good image reproduction. In contrast to this …

Camera sensors can only capture a limited range of luminance simultaneously, and in order
to create high dynamic range (HDR) images a set of different exposures are typically …

Recovering a high dynamic range (HDR) image from a single low dynamic range (LDR)
input image is challenging due to missing details in under-/over-exposed regions caused by …

High-quality HDRIs (High Dynamic Range Images), typically HDR panoramas, are one of
the most popular ways to create photorealistic lighting and 360-degree reflections of 3D …

High dynamic range (HDR) imaging provides the capability of handling real world lighting as
opposed to the traditional low dynamic range (LDR) which struggles to accurately represent …

Recent work on depth estimation up to now has only focused on projective images ignoring
360 content which is now increasingly and more easily produced. We show that monocular …

Diffusion-based methods have achieved remarkable achievements in 2D image or 3D
object generation, however, the generation of 3D scenes and even $360^{\circ} $ images …

We present a learning-based method to infer plausible high dynamic range (HDR),
omnidirectional illumination given an unconstrained, low dynamic range (LDR) image from a …