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We develop an inverse graphics approach to the problem of scene understanding, obtaining a rich representation that includes descriptions of the objects in the scene and their spatial layout, as well as global latent variables like the camera parameters and lighting. The framework's stages include object detection, the prediction of the camera and lighting variables, and prediction of object-specific variables (shape, appearance and pose). This acts like the encoder of an autoencoder, withdoi:10.1109/iccvw.2017.115 dblp:conf/iccvw/RomaszkoWMK17 fatcat:vfpdg4l4dzgfrmjfyztbfsjsxa