Overview

3D semantic segmentation labels the parts of a three-dimensional scene, helping robots, vehicles, and mapping systems understand both what objects are and where they are. Common approaches process point clouds with point or voxel transformers, fuse LiDAR with camera features, or transfer 2D foundation-model predictions into 3D; newer work also segments Gaussian-splatting and mesh representations. Indoor benchmarks such as ScanNet and S3DIS and outdoor benchmarks such as SemanticKITTI and nuScenes measure progress, alongside few-shot, unsupervised, and open-vocabulary settings that reduce dependence on dense labels. A central challenge is making accurate boundaries and fine-grained predictions transfer across sensors, viewpoints, and domains without excessive annotation or computation.

Latest papers

CardsList

137 papers12 papers in the last four weeks, down 37% on the four weeks before. 0.1% of all new papers.

  1. TCATSeg: A Tooth Center-Wise Attention Network for 3D Dental Model Semantic Segmentation

    Mar 17, 2026Qiang He, Wentian Qu, Jiajia Dai +93D Semantic Segmentation3D Point Cloud Segmentation

  2. SCOPE: Scene-Contextualized Incremental Few-Shot 3D Segmentation

    Mar 6, 2026Vishal Thengane, Zhaochong An, Tianjin Huang +5Few-Shot Semantic Segmentation3D Semantic Segmentation

  3. P-SLCR: Unsupervised Point Cloud Semantic Segmentation via Prototypes Structure Learning and Consistent Reasoning

    Mar 6, 2026Lixin Zhan, Jie Jiang, Tianjian Zhou +33D Point Cloud Segmentation3D Semantic Segmentation

  4. Adaptive Augmentation-Aware Latent Learning for Robust LiDAR Semantic Segmentation

    Mar 1, 2026Wangkai Li, Zhaoyang Li, Yuwen Pan +33D Point Cloud Segmentation3D Semantic Segmentation

  5. MME: Mixture of Mesh Experts with Random Walk Transformer Gating

    Feb 28, 2026Amir Belder, Ayellet TalMixture-of-Experts ModelsExpert Routing

  6. Unsupervised Semantic Segmentation in Synchrotron Computed Tomography with Self-Correcting Pseudo Labels

    Feb 27, 2026Austin Yunker, Peter Kenesei, Hemant Sharma +3Unsupervised Image Segmentation3D Semantic Segmentation

  7. Enhancing 3D LiDAR Segmentation by Shaping Dense and Accurate 2D Semantic Predictions

    Feb 21, 2026Xiaoyu Dong, Tiankui Xian, Wanshui Gan +1Multimodal Semantic Segmentation3D Semantic Segmentation

  8. Cross-view Domain Generalization via Geometric Consistency for LiDAR Semantic Segmentation

    Feb 16, 2026Jindong Zhao, Yuan Gao, Yang Xia +4Domain Generalization3D Semantic Segmentation

  9. DivAS: Interactive 3D Segmentation by Depth-Weighted Voxel Aggregation

    Jan 8, 2026Ayush Pande, Mayank VatsaImage Segmentation3D Semantic Segmentation

  10. G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation

    Jan 7, 2026Hojun Song, Chae-yeong Song, Jeong-hun Hong +53D Point Cloud Segmentation3D Semantic Segmentation

  11. Label-Efficient 3D Forest Mapping: Self-Supervised and Transfer Learning for Instance Segmentation, Semantic Segmentation, and Species Classification

    Nov 9, 2025Aldino Rizaldy, Fabian Ewald Fassnacht, Ahmed Jamal Afifi +3Self-Supervised LearningTree Species Classification

  12. Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation

    Sep 16, 2025Qianguang Zhao, Dongli Wang, Yan Zhou +23D Point Cloud SegmentationPrototype Learning

  13. CoRe-GS: Coarse-to-Refined Gaussian Splatting with Semantic Object Focus

    Sep 5, 2025Hannah Schieber, Dominik Frischmann, Victor Schaack +43D Gaussian Splatting3D Reconstruction

  14. PointGauss: Point Cloud-Guided Multi-Object Segmentation for Gaussian Splatting

    Aug 1, 2025Wentao Sun, Yiping Chen, John S. Zelek +13D Gaussian Splatting3DGS Segmentation

  15. EPMF: Efficient Perception-aware Multi-sensor Fusion for 3D Semantic Segmentation

    Jun 21, 2021Mingkui Tan, Zhuangwei Zhuang, Sitao Chen +4Camera-LiDAR FusionAutonomous Driving Perception