Mono4DGS-HDR: High Dynamic Range 4D Gaussian Splatting from
  Alternating-exposure Monocular Videos
Authors: name: Jinfeng Liu, name: Lingtong Kong, name: Mi Zhou, name: Jinwen Chen, name: Dan Xu

We introduce Mono4DGS-HDR, the first system for reconstructing renderable 4D
high dynamic range (HDR) scenes from unposed monocular low dynamic range (LDR)
videos captured with alternating exposures. To tackle such a challenging
problem, we present a unified framework with two-stage optimization approach
based on Gaussian Splatting. The first stage learns a video HDR Gaussian
representation in orthographic camera coordinate space, eliminating the need
for camera poses and enabling robust initial HDR video reconstruction. The
second stage transforms video Gaussians into world space and jointly refines
the world Gaussians with camera poses. Furthermore, we propose a temporal
luminance regularization strategy to enhance the temporal consistency of the
HDR appearance. Since our task has not been studied before, we construct a new
evaluation benchmark using publicly available datasets for HDR video
reconstruction. Extensive experiments demonstrate that Mono4DGS-HDR
significantly outperforms alternative solutions adapted from state-of-the-art
methods in both rendering quality and speed.