SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth


We introduce SceneNet RGB-D, expanding the previous work of SceneNet to enable large scale photorealistic rendering of indoor scene trajectories. It provides pixel-perfect ground truth for scene understanding problems such as semantic segmentation, instance segmentation, and object detection, and also for geometric computer vision problems such as optical… (More)


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