mlsanityData to 7 Oct 2026

View-Guided Point Cloud Completion

arXiv 2104.05666 ↗First posted 12 Apr 2021cs.CVcited by 46

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Abstract (arXiv)

This paper presents a view-guided solution for the task of point cloud completion. Unlike most existing methods directly inferring the missing points using shape priors, we address this task by introducing ViPC (view-guided point cloud completion) that takes the missing crucial global structure information from an extra single-view image. By leveraging a framework that sequentially performs effective cross-modality and cross-level fusions, our method achieves significantly superior results over typical existing solutions on a new large-scale dataset we collect for the view-guided point cloud completion task.

Key facts. Cited by 46 papers in the map (data through 7 Oct 2026). Builds on 15 of its 43 references that are in the map. First posted on arXiv 12 Apr 2021.

Builds on

15 of 43 references.

References · 15

  1. 2016PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationcited by 5,223
  2. 2015ShapeNet: An Information-Rich 3D Model Repositorycited by 2,880
  3. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,682
  4. 2018Dynamic Graph CNN for Learning on Point Cloudscited by 2,220
  5. 2016A Point Set Generation Network for 3D Object Reconstruction from a Single Imagecited by 972
  6. 2018Pixel2Mesh: Generating 3D Mesh Models from Single RGB Imagescited by 649
  7. 20163D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstructioncited by 587
  8. 2018AtlasNet: A Papier-Mach'e Approach to Learning 3D Surface Generationcited by 539
  9. 2018PCN: Point Completion Networkcited by 382
  10. 2019What Do Single-view 3D Reconstruction Networks Learn?cited by 259
  11. 2016Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesiscited by 219
  12. 2020GRNet: Gridding Residual Network for Dense Point Cloud Completioncited by 174
3 more
  1. 2018Patch-based Progressive 3D Point Set Upsamplingcited by 101
  2. 2017High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inferencecited by 87
  3. 2018Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpaintingcited by 13

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 10; 2023: 5; 2024: 12; 2025: 12; 2026: 7.

46 papers.

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  1. 2022SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformercited by 83
  2. 2022Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysiscited by 44
  3. 2022PointAttN: You Only Need Attention for Point Cloud Completioncited by 43
  4. 2022Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformercited by 38
  5. 2022Cross-modal Learning for Image-Guided Point Cloud Shape Completioncited by 36
  6. 2023SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generatorcited by 34
  7. 2023SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusioncited by 30
  8. 2022CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completioncited by 22
  9. 2025SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorizationcited by 20
  10. 2024PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priorscited by 16
  11. 2022CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusioncited by 11
  12. 2024Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completioncited by 9
34 more
  1. 2025PointSea: Point Cloud Completion via Self-structure Augmentationcited by 9
  2. 2025GenPC: Zero-shot Point Cloud Completion via 3D Generative Priorscited by 9
  3. 2022Leveraging Single-View Images for Unsupervised 3D Point Cloud Completioncited by 8
  4. 20243DMambaComplete: Exploring Structured State Space Model for Point Cloud Completioncited by 8
  5. 2024GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformercited by 7
  6. 20243D Shape Completion on Unseen Categories:A Weakly-supervised Approachcited by 6
  7. 2024FSC: Few-point Shape Completioncited by 6
  8. 2024Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learningcited by 6
  9. 2022Temporal Point Cloud Completion with Pose Disturbancecited by 5
  10. 2023Fine-grained Text and Image Guided Point Cloud Completion with CLIP Modelcited by 5
  11. 2025DiffPCN: Latent Diffusion Model Based on Multi-view Depth Images for Point Cloud Completioncited by 5
  12. 2024Single-View Scene Point Cloud Human Grasp Generationcited by 4
  13. 2024Deep Learning for 3D Point Cloud Enhancement: A Surveycited by 4
  14. 2024Revisiting Point Cloud Completion: Are We Ready For The Real-World?cited by 4
  15. 2025Rethinking Multimodal Point Cloud Completion: A Completion-by-Correction Perspectivecited by 4
  16. 2025US-X Complete: A Multi-Modal Approach to Anatomical 3D Shape Recoverycited by 3
  17. 2022Completing Partial Point Clouds with Outliers by Collaborative Completion and Segmentationcited by 2
  18. 2025MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modelingcited by 2
  19. 2026MGPC: Multimodal Network for Generalizable Point Cloud Completion With Modality Dropout and Progressive Decodingcited by 2
  20. 2024DuInNet: Dual-Modality Feature Interaction for Point Cloud Completioncited by 1
  21. 2025Benefit from Reference: Retrieval-Augmented Cross-modal Point Cloud Completioncited by 1
  22. 2025Artist-Created Mesh Generation from Raw Observationcited by 1
  23. 2025Repurposing 2D Diffusion Models for 3D Shape Completioncited by 1
  24. 2026PPC-MT: Parallel Point Cloud Completion with Mamba-Transformer Hybrid Architecturecited by 1
  25. 2026SplAttN: Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completioncited by 1
  26. 2026A Survey on Deep Learning Architectures for Point Cloud Classification and Segmentationcited by 1
  27. 2026I2PRef: Image-Driven Point Completion with Iterative Refinementcited by 1
  28. 2023VioLA: Aligning Videos to 2D LiDAR Scanscited by 0
  29. 2023P2M2-Net: Part-Aware Prompt-Guided Multimodal Point Cloud Completioncited by 0
  30. 2024MASSTAR: A Multi-Modal and Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completioncited by 0
  31. 2025A Strong View-Free Baseline Approach for Single-View Image Guided Point Cloud Completioncited by 0
  32. 2025GauSSmart: Enhanced 3D Reconstruction through 2D Foundation Models and Geometric Filteringcited by 0
  33. 2026PQDT: Pseudo-Query Dual Transformer for Robust Point Cloud Restorationcited by 0
  34. 2026Hyper^2: Unleashing Hyperbolic Geometry's Full Potential via Dual-Space Consistencycited by 0