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

91 citations · 91 across the 1 of their papers we have counts for

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1 paper

cs.CV2017★ 91 cited

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

John McCormac, Ankur Handa, Stefan Leutenegger +1

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 t…