Research map

Point clouds: research map

Learning on 3D point clouds: classification, registration, segmentation, completion.

1,532 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026), in 4 topics. Within all five venues, its share held steady from 1.7% in 2023–24 to 1.1% in 2025–26 (456 → 509 papers at ICML, NeurIPS, CVPR and AAAI, the venues with data for all four years).

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Topics

• Point cloud classification · 731 papers
  Local feature aggregation networks, Equivariant point cloud networks, Efficient point sampling architectures
• Shape and surface completion · 332 papers
  Unsupervised shape correspondence, Point cloud upsampling and normals, Distance-function surface reconstruction
• Segmentation and detection · 324 papers
  Point cloud semantic segmentation, LiDAR segmentation for driving, Scene completion and instance segmentation
• Registration and matching · 145 papers
  Learned feature-based registration, Robust inlier selection for registration, Non-rigid point set registration

Most cited papers in Point clouds

• PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (CVPR 2017 · 9,885 citations)
• VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection (CVPR 2018 · 4,733 citations)
• PointPillars: Fast Encoders for Object Detection From Point Clouds (CVPR 2019 · 4,587 citations)
• A Point Set Generation Network for 3D Object Reconstruction From a Single Image (CVPR 2017 · 2,524 citations)
• PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (NeurIPS 2017 · 2,147 citations)
• RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds (CVPR 2020 · 2,138 citations)
• 3D Semantic Parsing of Large-Scale Indoor Spaces (CVPR 2016 · 1,979 citations)
• PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet (CVPR 2019 · 891 citations)
• Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling (CVPR 2022 · 780 citations)
• Predator: Registration of 3D Point Clouds With Low Overlap (CVPR 2021 · 715 citations)
• PU-Net: Point Cloud Upsampling Network (CVPR 2018 · 689 citations)
• GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping (CVPR 2020 · 667 citations)