NeurIPS 2026 accepted papers on Point clouds
33 of the 6,080 papers accepted at NeurIPS 2026 (0.5%) are on Point clouds, compared with 0.8% at NeurIPS 2025. They fall into 4 topics.
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Topics and papers
Point cloud classification · 24 papers
- A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds
- Augmented Equivariant Mesh Networks for Anatomical Segmentation
- Invaria: Learning Scale and Density Invariance in Point Clouds via Next-Resolution Prediction
- Learning to Solve Compositional Geometry Routing Problems
- Motion Cues from Image-based Point Tracking for LiDAR Scene Flow Estimation
- Neural Reconstruction of LiDAR Point Clouds under Jamming Attacks via Full-Waveform Representation and Simultaneous Laser Sensing
- Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators
- PointZero: 3D Point Track Completion for Learning Transferable 3D Dynamics
- Tango3D: Towards Alignment for Global and Local 2D-3D Correspondence
- Beyond Downstream Scores: Controlled Diagnostics for Point-Cloud Self-Supervised Learning Evaluation
- BiLi: Bridging the Last Mile in LiDAR Localization
- CitySTAR: Agent-Driven Structured and Topology-Aware Reasoning for Open-Vocabulary Urban 3D Grounding
and 12 more in the interactive map.