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arXiv · 2208.06787

HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields

Kim Jun-Seong·Kim Yu-Ji·Moon Ye-Bin·Tae-Hyun Oh
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Abstract

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.

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Kim Jun-Seong, Kim Yu-Ji, Moon Ye-Bin, Tae-Hyun Oh. 2022-08-14. HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields. https://arxiv.org/abs/2208.06787

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