InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

InteriorNet is a massive new dataset released by researcher at the Imperial College London and Chinese furnishing-VR startup Kujiale, it consist of photographs of complex, realistic interiors. and numbers around 1 million CAD models of different types of furniture and furnishing, which over 1,100 professional designers have subsequently used to create around 22 million room layouts. 


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