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Point Transformer V2: Grouped Vector Attention and Partition-based
  Pooling
v1v2 (latest)

Point Transformer V2: Grouped Vector Attention and Partition-based Pooling

Neural Information Processing Systems (NeurIPS), 2022
11 October 2022
Xiaoyang Wu
Yixing Lao
Li Jiang
Xihui Liu
Hengshuang Zhao
    3DPCViT
ArXiv (abs)PDFHTMLGithub (388★)

Papers citing "Point Transformer V2: Grouped Vector Attention and Partition-based Pooling"

50 / 249 papers shown
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Late-decoupled 3D Hierarchical Semantic Segmentation with Semantic Prototype Discrimination based Bi-branch Supervision
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Deep Imbalanced Multi-Target Regression: 3D Point Cloud Voxel Content Estimation in Simulated Forests
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Bartosz Krawczyk
Michael Saunders
Rob Wible
Keith Krause
Dimah Dera
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141
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16 Nov 2025
RWKV-PCSSC: Exploring RWKV Model for Point Cloud Semantic Scene Completion
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Xiaojun Chen
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Hongyu Wang
Ying Liu
Ruihui Li
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166
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13 Nov 2025
Misaligned by Design: Incentive Failures in Machine Learning
Misaligned by Design: Incentive Failures in Machine Learning
David Autor
Andrew Caplin
Daniel Martin
Philip Marx
62
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10 Nov 2025
Point Cloud Segmentation of Integrated Circuits Package Substrates Surface Defects Using Causal Inference: Dataset Construction and Methodology
Point Cloud Segmentation of Integrated Circuits Package Substrates Surface Defects Using Causal Inference: Dataset Construction and Methodology
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Qiang Zuo
Ruiyun Yu
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180
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08 Nov 2025
Rethinking Metrics and Diffusion Architecture for 3D Point Cloud Generation
Rethinking Metrics and Diffusion Architecture for 3D Point Cloud Generation
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David Ryckelynck
Laurent Corté
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Etienne Decencière
228
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07 Nov 2025
How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
Tuan Anh Tran
Duy M. Nguyen
Hoai-Chau Tran
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Khoa D. Doan
Roger Wattenhofer
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Daniel Sonntag
Paul Swoboda
164
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3D Gaussian Point Encoders
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Class-agnostic 3D Segmentation by Granularity-Consistent Automatic 2D Mask Tracking
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189
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Denniz Goren
Holger Caesar
44
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Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations
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Yixing Lao
Chengyao Wang
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3DPC
117
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DPGLA: Bridging the Gap between Synthetic and Real Data for Unsupervised Domain Adaptation in 3D LiDAR Semantic Segmentation
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128
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PoissonNet: A Local-Global Approach for Learning on Surfaces
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102
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Are Heterogeneous Graph Neural Networks Truly Effective? A Causal Perspective
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Point-RTD: Replaced Token Denoising for Pretraining Transformer Models on Point Clouds
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Unlocking Hidden Potential in Point Cloud Networks with Attention-Guided Grouping-Feature Coordination
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RangeSAM: On the Potential of Visual Foundation Models for Range-View represented LiDAR segmentation
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OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds
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Kunlei Jing
J. Zhu
Di Wang
3DPC
141
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0
13 Sep 2025
Point-Plane Projections for Accurate LiDAR Semantic Segmentation in Small Data Scenarios
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Pietro Musoni
U. Castellani
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139
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0
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Open-world Point Cloud Semantic Segmentation: A Human-in-the-loop Framework
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GaussianCross: Cross-modal Self-supervised 3D Representation Learning via Gaussian Splatting
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On-the-Fly Object-aware Representative Point Selection in Point Cloud
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ModelNet40-E: An Uncertainty-Aware Benchmark for Point Cloud Classification
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Methods for the Segmentation of Reticular Structures Using 3D LiDAR Data: A Comparative Evaluation
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Marc Fabregat-Jaén
Luis Payá Castelló
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