  Most novel view synthesis methods such as NeRF are unable to capture the true
high dynamic range (HDR) radiance of scenes since they are typically trained on
photos captured with standard low dynamic range (LDR) cameras. While the
traditional exposure bracketing approach which captures several images at
different exposures has recently been adapted to the multi-view case, we find
such methods to fall short of capturing the full dynamic range of indoor
scenes, which includes very bright light sources. In this paper, we present
PanDORA: a PANoramic Dual-Observer Radiance Acquisition system for the casual
capture of indoor scenes in high dynamic range. Our proposed system comprises
two 360{\deg} cameras rigidly attached to a portable tripod. The cameras
simultaneously acquire two 360{\deg} videos: one at a regular exposure and the
other at a very fast exposure, allowing a user to simply wave the apparatus
casually around the scene in a matter of minutes. The resulting images are fed
to a NeRF-based algorithm that reconstructs the scene's full high dynamic
range. Compared to HDR baselines from previous work, our approach reconstructs
the full HDR radiance of indoor scenes without sacrificing the visual quality
while retaining the ease of capture from recent NeRF-like approaches.
