3D Semantic Segmentation

74 papers with code • 7 benchmarks • 15 datasets

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Greatest papers with code

Atlas: End-to-End 3D Scene Reconstruction from Posed Images

magicleap/Atlas ECCV 2020

Traditional approaches to 3D reconstruction rely on an intermediate representation of depth maps prior to estimating a full 3D model of a scene.

3D Reconstruction 3D Scene Reconstruction +1

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

StanfordVL/MinkowskiEngine CVPR 2019

To overcome challenges in the 4D space, we propose the hybrid kernel, a special case of the generalized sparse convolution, and the trilateral-stationary conditional random field that enforces spatio-temporal consistency in the 7D space-time-chroma space.

3D Semantic Segmentation 4D Spatio Temporal Semantic Segmentation

PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

yangyanli/PointCNN CVPR 2019

We present PartNet: a consistent, large-scale dataset of 3D objects annotated with fine-grained, instance-level, and hierarchical 3D part information.

3D Semantic Segmentation Instance Segmentation

DeepGCNs: Can GCNs Go as Deep as CNNs?

lightaime/deep_gcns_torch ICCV 2019

Finally, we use these new concepts to build a very deep 56-layer GCN, and show how it significantly boosts performance (+3. 7% mIoU over state-of-the-art) in the task of point cloud semantic segmentation.

3D Semantic Segmentation Graph Classification +1

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

loicland/superpoint_graph CVPR 2018

We propose a novel deep learning-based framework to tackle the challenge of semantic segmentation of large-scale point clouds of millions of points.

3D Semantic Segmentation