- [2017 CVPR] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Paper Code1 Code2
- [2017 NIPS] PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space Paper Code1 Code2
- [2017 CVPR] Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs Paper Code
- [2017 CVPR] Dynamic Filters in Graph Convolutional Networks Paper
- [2018 NIPS] PointCNN：Convolution On X-Transformed Points Paper Code
- [2018 CVPR] SO-Net: Self-Organizing Network for Point Cloud Analysis Paper Code
- [2019 CVPR] DGCNN: Dynamic Graph CNN for Learning on Point Clouds Paper Code
- [2019 CVPR] PointConv：Deep Convolutional Networks on 3D Point Clouds Paper Code1 Code2
- [2019 CVPR] PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing Paper Code
- [2019 CVPR] Relation-Shape Convolutional Neural Network for Point Cloud Analysis Paper Code
- [2019 ICCV] KPConv: Flexible and Deformable Convolution for Point Clouds Paper Code
- [2019 NIPS] Point-Voxel CNN for Efficient 3D Deep Learning Paper Code
- [2020 CVPR] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds Paper Code
- [2020 CVPR] PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling Paper Code
- [2020 CVM] Point Cloud Transformer Paper Code
- [2021 ICCV] Point Transformer Paper Code
- [2018 CVPR] PU-Net: Point Cloud Upsampling Network Paper Code
- [2019 ICCV] PU-GAN: a Point Cloud Upsampling Adversarial Network Paper Code
- [2018 ICML] Learning Representations and Generative Models for 3D Point Clouds Paper Code
- [2018 CVPR] FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation Paper Code
- [2019 CVPR] 3D Point Capsule Networks Paper Code
- [2019 ICCV] 3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions Paper
- [2019 ICCV] PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Paper Code
- [2020 ECCV] Discrete Point Flow Networks for Efficient Point Cloud Generation Paper Code
- [2020 NIPS] SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds Paper Code
- [2021 CVPR] Diffusion Probabilistic Models for 3D Point Cloud Generation Paper Code
- [2021 ICCV] 3D Shape Generation and Completion through Point-Voxel Diffusion Paper
- PCN
- Completion3D
- MVP
- PCL2PCL (code: npaj)
- KITTI (code: npaj)
- ScanNet (code: npaj)
- Materport3D (code: npaj)
- [2018 3DV] PCN: Point Completion Network Paper Code
- [2019 CVPR] TopNet: Structural Point Cloud Decoder Paper Code
- [2020 IROS] ECG: Edge-aware Point Cloud Completion with Graph Convolution Paper
- [2020 CVPR] PF-Net: Point Fractal Network for 3D Point Cloud Completion Paper Code
- [2020 CVPR] Morphing and Sampling Network for Dense Point Cloud Completion Paper Code
- [2020 CVPR] Cascaded Refinement Network for Point Cloud Completion Paper Code
- [2020 CVPR] Point Cloud Completion by Skip-attention Network with Hierarchical Folding Paper Code
- [2020 NIPS] Skeleton-bridged Point Completion: From Global Inference to Local Adjustment Paper
- [2020 ECCV] Detail Preserved Point Cloud Completion via Separated Feature Aggregation Paper Code
- [2020 ECCV] GRNet: Gridding Residual Network for Dense Point Cloud Completion Paper Code
- [2021 AAAI] ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for RobustPoint Cloud Completion Paper
- [2021 CVPR] PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths Papre Code
- [2021 CVPR] Variational Relational Point Completion Network Paper Code
- [2021 CVPR] Denoise and Contrast for Category Agnostic Shape Completion Paper Code
- [2021 CVPR] View-Gauided Point Cloud Completion Paper
- [2021 ICCV] PoinTr: Diverse Piont Cloud Completion with Geometry-Aware Transformers Paper Code
- [2021 ICCV] SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer Paper Code
- [2021 ACM MM] ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion Paper
- [2022 AAAI] Attention-based Transformation from Latent Features to Point Clouds Paper
- [2022] A Conditional Point Diffusion-Refinement Paradigm For 3D Point Cloud Completion Paper
- [2022] High-Fidelity Point Cloud Completion with Low-Resolution Recovery and Noise-Aware Upsampling Paper
- [2020 ICLR] Unpaired Point Cloud Completion on Real Scans Using Adversarial Training Paper Code
- [2021 CVPR] Unsupervised 3D Shape Completion through GAN Inversion Paper Code
- [2021 CVPR] Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding Paper Code
- [2021 ArXiv] MFM-Net: Unpaired Shape Completion Network with Multi-stage Feature Matching Paper