High Dynamic Range Novel View

High dynamic range (HDR) novel view synthesis aims to generate realistic images from unseen viewpoints, capturing a wider range of brightness levels than standard images. Recent research focuses on improving efficiency and realism using novel architectures like Gaussian splatting and modified Neural Radiance Fields (NeRFs), addressing challenges such as long training times and handling noisy raw image data from low-light conditions. These advancements enable faster rendering and improved HDR image quality, with applications in virtual and augmented reality, computer graphics, and image editing.