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CVPR 2024 3D Point Cloud(点云处理)方向总汇

2025/6/7 12:21:10 来源:https://blog.csdn.net/qq_36812406/article/details/145003556  浏览:    关键词:CVPR 2024 3D Point Cloud(点云处理)方向总汇

1、2024年CVPR 3D点云数据方向总汇

  • Single-View Scene Point Cloud Human Grasp Generation
  • LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling
  • StraightPCF: Straight Point Cloud Filtering
  • CurveCloudNet: Processing Point Clouds with 1D Structure
  • Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
  • Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform
  • Multiway Point Cloud Mosaicking with Diffusion and Global Optimization
    📺video
  • Point Cloud Pre-training with Diffusion Models
  • PBWR: Parametric-Building-Wireframe Reconstruction from Aerial LiDAR Point Clouds
  • Unsupervised Occupancy Learning from Sparse Point Cloud
  • TULIP: Transformer for Upsampling of LiDAR Point Clouds
  • Draw Step by Step Like Human: Reconstructing CAD Construction Sequences from Point Clouds via Multimodal Diffusion点​​云重建 CAD
  • Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
    ⭐code
  • Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
    ⭐code
  • Unsupervised Template-assisted Point Cloud Shape Correspondence Network
  • GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point Clouds
  • Object Dynamics Modeling with Hierarchical Point Cloud-based Representations
  • KPConvX: Modernizing Kernel Point Convolution with Kernel Attention
  • 点云配准
    • Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
    • Inlier Confidence Calibration for Point Cloud Registration
    • ColorPCR: Color Point Cloud Registration with Multi-Stage Geometric-Color Fusion
    • Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration
    • Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes
  • 3D 点云
    • Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
      ⭐code
    • Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
      ⭐code
      👍摘要
    • Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds
    • Text2Loc: 3D Point Cloud Localization from Natural Language
      🏠project
    • 3DInAction: Understanding Human Actions in 3D Point Clouds
      ⭐code
    • Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching
      ⭐code
  • 点云识别
    • X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition
  • 点云上采样
    • RepKPU: Point Cloud Upsampling with Kernel Point Representation and Deformation
    • A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling
    • SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation
  • 点云分割
    • Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation
    • OneFormer3D: One Transformer for Unified Point Cloud Segmentation
    • 点云实例分割
      • FreePoint: Unsupervised Point Cloud Instance Segmentation
      • Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation3D 点云实例分割
    • 弱监督点云语义分割
      • Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle
        🏠project
  • 点云分析
    • TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
      ⭐code
  • 点云理解
    • Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding
  • 点云生成
    • TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process
      ⭐code
  • 点云去噪
    • Denoising Point Cloud in Latent Space via Graph Convolution and Invertible Neural Network
  • 点云分类
    • CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification
  • 点云质量评估
    • Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment无参考点云质量评估

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