论文标题
HDR-Plenoxel：自校准的高动态射程辐射场
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields
论文作者
论文摘要
我们提出了高动态范围（HDR）辐射场，HDR-PLENOXELS，它学习了3D HDR辐射场，几何信息和2D低动态范围（LDR）图像中固有的不同摄像机设置的元素功能。我们基于体素的音量渲染管道可以以端到端的方式从不同的相机设置中拍摄的多视图LDR图像重建HDR辐射场，并且具有快速的收敛速度。为了在现实世界中处理各种摄像机，我们引入了一个音调映射模块，该模块对数字相机内成像管道（ISP）（ISP）（ISP）和DISENTANGLES放射测定设置进行了建模。我们的音调映射模块使我们能够通过控制每个新型视图的辐射设置来渲染。最后，我们构建一个具有不同相机条件的多视图数据集，这符合我们的问题设置。我们的实验表明，HDR-Plenoxels可以从具有各种相机的LDR图像中表达细节和高质量的HDR新型视图。
We propose high dynamic range (HDR) radiance fields, HDR-Plenoxels, that learn a plenoptic function of 3D HDR radiance fields, geometry information, and varying camera settings inherent in 2D low dynamic range (LDR) images. Our voxel-based volume rendering pipeline reconstructs HDR radiance fields with only multi-view LDR images taken from varying camera settings in an end-to-end manner and has a fast convergence speed. To deal with various cameras in real-world scenarios, we introduce a tone mapping module that models the digital in-camera imaging pipeline (ISP) and disentangles radiometric settings. Our tone mapping module allows us to render by controlling the radiometric settings of each novel view. Finally, we build a multi-view dataset with varying camera conditions, which fits our problem setting. Our experiments show that HDR-Plenoxels can express detail and high-quality HDR novel views from only LDR images with various cameras.
