Radiance field methods represent the state of the art in reconstructing
complex scenes from multi-view photos. However, these reconstructions often
suffer from one or both of the following limitations: First, they typically
represent scenes in low dynamic range (LDR), which restricts their use to
evenly lit environments and hinders immersive viewing experiences. Secondly,
their reliance on a pinhole camera model, assuming all scene elements are in
focus in the input images, presents practical challenges and complicates
refocusing during novel-view synthesis. Addressing these limitations, we
present a lightweight method based on 3D Gaussian Splatting that utilizes
multi-view LDR images of a scene with varying exposure times, apertures, and
focus distances as input to reconstruct a high-dynamic-range (HDR) radiance
field. By incorporating analytical convolutions of Gaussians based on a
thin-lens camera model as well as a tonemapping module, our reconstructions
enable the rendering of HDR content with flexible refocusing capabilities. We
demonstrate that our combined treatment of HDR and depth of field facilitates
real-time cinematic rendering, outperforming the state of the art.

以基于 3D 高斯喷墨技术的轻量级方法为基础，利用多视图低动态范围（LDR）图像，通过变化的曝光时间、光圈和聚焦距离重建高动态范围（HDR）光辐射场，实现灵活的重焦渲染，同时结合 HDR 和景深的处理，能够在实时电影渲染中表现出优异的性能。