3 citations · 3 across the 1 of their papers we have counts for
3 papers
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.…
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…
Two Stream 3D Semantic Scene Completion
Martin Garbade, Yueh-Tung Chen, Johann Sawatzky +1
Inferring the 3D geometry and the semantic meaning of surfaces, which are occluded, is a very challenging task. Recently, a first end-to-end learning approach has been proposed tha…