  We propose a novel inverse rendering method that enables the transformation
of existing indoor panoramas with new indoor furniture layouts under natural
illumination. To achieve this, we captured indoor HDR panoramas along with
real-time outdoor hemispherical HDR photographs. Indoor and outdoor HDR images
were linearly calibrated with measured absolute luminance values for accurate
scene relighting. Our method consists of three key components: (1) panoramic
furniture detection and removal, (2) automatic floor layout design, and (3)
global rendering with scene geometry, new furniture objects, and a real-time
outdoor photograph. We demonstrate the effectiveness of our workflow in
rendering indoor scenes under different outdoor illumination conditions.
Additionally, we contribute a new calibrated HDR (Cali-HDR) dataset that
consists of 137 calibrated indoor panoramas and their associated outdoor
photographs.
