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20162019
most cited3D Semantic Scene Completion from a Single Depth Image using Adversarial Training

3 citations · 3 across the 1 of their papers we have counts for

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cs.CV2019★ 3 cited

3D Semantic Scene Completion from a Single Depth Image using Adversarial Training

Yueh-Tung Chen, Martin Garbade, Juergen Gall

We address the task of 3D semantic scene completion, i.e. , given a single depth image, we predict the semantic labels and occupancy of voxels in a 3D grid representing the scene.…

cs.CV2019

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

Jens Behley, Martin Garbade, Andres Milioto +4

Semantic scene understanding is important for various applications. In particular, self-driving cars need a fine-grained understanding of the surfaces and objects in their vicinity…