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We propose a novel inverse rendering method that enables the transformationof existing indoor panoramas with new indoor furniture layouts under naturalillumination. To achieve this, we captured indoor HDR panoramas along withreal-time outdoor hemispherical HDR photographs. Indoor and outdoor HDR imageswere linearly calibrated with measured absolute luminance values for accuratescene relighting. Our method consists of three key components: (1) panoramicfurniture detection and removal, (2) automatic floor layout design, and (3)global rendering with scene geometry, new furniture objects, and a real-timeoutdoor photograph. We demonstrate the effectiveness of our workflow inrendering indoor scenes under different outdoor illumination conditions.Additionally, we contribute a new calibrated HDR (Cali-HDR) dataset thatconsists of 137 calibrated indoor panoramas and their associated outdoorphotographs. The source code and dataset are available:https://github.com/Gzhji/Cali-HDR-Dataset.

Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural Illumination