ChenJunX1an / Reading-List

Paper list

Reading-List

Point Cloud Understanding

1. PointNet: Deep Learning on Point Sets for 3D Classificationand Segmentation. (CVPR'17)
2. PointNet++: Deep Hierarchical Feature Learning on Point Setsin a Metric Space. (Nips'17)
3. FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation. (CVPR'18)
4. Dynamic Graph CNN for Learning on Point Clouds. (TOG'19)
5. Point-Voxel CNN for Efficient 3D Deep Learning. (Nips'19)
6. Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. (CVPR'22)

Point Cloud Upsampling

1. PU-Net: Point Cloud Upsampling Network. (CVPR'18)
2. PU-GAN: a Point Cloud Upsampling Adversarial Network. (ICCV'19)
3. Point Cloud Upsampling via Disentangled Refinement. (CVPR'21)
4. Point Set Self-Embedding. (TVCG'22)
5. PC^2-PU: Patch Correlation and Position Correction for Effective Point Cloud Upsampling. (MM'22)
6. Snowflake Point Deconvolution for Point Cloud Completion and Generation With Skip-Transformer. (TPAMI'23)

Point Cloud Completion

Supervised

1. Comprehensive Review of Deep Learning-Based 3D Point Clouds Completion Processing and Analysis. (arxiv'22)
2. PCN: Point Completion Network. (3DV'18)
3. PF-Net: Point Fractal Network for 3D Point Cloud Completion. (CVPR'20)
4. PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers. (ICCV'21)
5. AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers. (arxiv'23)
6. SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer. (ICCV'21)
7. Snowflake Point Deconvolution for Point Cloud Completion and Generation With Skip-Transformer. (TPAMI'23)
8. SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer. (ECCV'22)
9. POINTATTN: YOU ONLY NEED ATTENTION FOR POINT CLOUD COMPLETION. (arxiv'22)
10. Point Cloud Completion via Skeleton-Detail Transformer. (TVCG'22)
11. ShapeFormer: Transformer-based Shape Completion via Sparse Representation. (CVPR'22)
12. ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion. (MM'21)
13. Learning Local Displacements for Point Cloud Completion. (CVPR'22)
14. LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints. (CVPR'22)
15. PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths. (CVPR'21)
16. PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths. (Tpami'23)
17. GRNet: Gridding Residual Network for Dense Point Cloud Completion. (ECCV'20)
18. SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion. (ACCV'20)
19. Shape Completion with Points in the Shadow. (Siggraph Asia'22)
20. Consistent Two-Flow Network for Tele-Registration of Point Clouds. (TVCG'21)
21. ProxyFormer: Proxy Alignment Assisted Point Cloud Completion with Missing Part Sensitive Transformer. (CVPR'23)
22. AnchorFormer: Point Cloud Completion from Discriminative Nodes (CVPR'23)
23. CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm. (TPAMI'23)
24. CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion. (AAAI'23)
25. 3D Shape Generation and Completion through Point-Voxel Diffusion. (CVPR'22)
26. FBNet: Feedback Network for Point Cloud Completion. (ECCV'22)
27. Detail Preserved Point Cloud Completion via Separated Feature Aggregation. (ECCV'20)
28. Variational Relational Point Completion Network. (CVPR'21)
29. PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation. (ECCV'22)

Unsupervised

1. Multimodal Shape Completion via Conditional Generative Adversarial Networks. (ECCV'20)
2. Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding. (CVPR'21)
3. Learning a Structured Latent Space for Unsupervised Point Cloud Completion. (CVPR'22)
4. Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network. (Nips'22)
5. AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation. (CVPR'22)

Shape Generation

1. PointAugment: an Auto-Augmentation Framework for Point Cloud Classification. (CVPR'20)
2. SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation. (TOG'21)
3. 3D-aware Conditional Image Synthesis. (CVPR'23)

2D Generation

1. Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold. (SIggraph'23)

SDF

1. Occupancy Networks: Learning 3D Reconstruction in Function Space. (CVPR'19)
2. Convolutional Occupancy Networks. (ECCV'20)
3. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. (CVPR'19)

Dataset

1. Building3D: An Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds. (ICCV'23)
2. MVP. (CVPR'21)
3. PCN. (3DV'18)
4. ShapeNet55/34. (ICCV'21)
5. KiTTi.