4. まとめた論文の一覧 (1/3)
~PointNet
1. STN: M. Jaderberg, et al.. Spatial Transformer Networks. NIPS2015. (2015-01-05)
2. PointNet: C. R. Qi, et al.. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. CVPR2017.
(2016-12-02)
入力にボクセルを利用
3. OctNet: G. Riegler, et al.. OctNet: Learning Deep 3D Representations at High Resolutions. CVPR2017. (2016-11-15)
4. O-CNN: P. –S. Wang, et al.. O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis. SIGGRAPH2017.
(2017-07-03)
5. RSNet: Q. Huang, et al.. Recurrent Slice Networks for 3D Segmentation of Point Clouds. CVPR2018. (2018-02-13)
6. PointGrid: T. Le, et al.. PointGrid: A Deep Network for 3D Shape Understanding. CVPR2018. (2018-06-18)
7. AO-CNN: P. –S. Wang, et al.. Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes. SIGGRAPH Asia2018.
(2018-09-19)
入力を点群・ボクセル以外に変換
8. FPNN: Y. Li, et al.. FPNN: Field Probing Neural Networks for 3D Data. NIPS2016. (2016-05-20)
9. Kd-Network: R. Klokov, et al.. Escape from Cells: Deep Kd-Networks for The Recognition of 3D Point Cloud Models.
ICCV2017. (2017-04-04)
10. PPFNet: H. Deng, et al.. PPFNet: Global Context Aware Local Features for Robust 3D Point Matching. CVPR2018.
(2018-02-07)
11. SO-Net: J. Li, et al.. SO-Net: Self-Organizing Network for Point Cloud Analysis. CVPR2018. (2018-03-12)
12. MCCNN: P. Hermosilla, et al.. Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds.
SIGGRAPH Asia2018. (2018-06-05)
13. Automatic Depth Image Generation: R. Roveri, et al.. A Network Architecture for Point Cloud Classification via Automatic
Depth Images Generation. CVPR2018. (2018-06-18)
14. MRTNet: M. Gadelha, et al.. Multiresolution Tree Networks for 3D Point Cloud Processing. ECCV2018. (2018-07-10)
Google Spreadsheetsで公開しています
https://docs.google.com/spreadsheets/d/1MJTdLHIRefclx4GkZkfZxFj9GIxLSjit_f32j_DR9gw/edit?usp=sharing
5. まとめた論文の一覧 (2/3)
局所形状の利用
15. ECC: M. Simonovsky, et al.. Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs. CVPR2017.
(2017-04-10)
16. PointNet++: C. R. Qi, et al.. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. NIPS2017.
(2017-06-07)
17. Pointwise CNN: B. –S. Hua, et al.. Pointwise Convolutional Neural Networks. CVPR2018. (2017-12-14)
18. KCN: Y. Shen, et al.. Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling. CVPR2018. (2017-12-19)
19. PointCNN: Y. Li, et al.. PointCNN. arXiv:1801.07791. (2018-01-23)
20. DG-CNN: Y. Wang, et al.. Dynamic Graph CNN for Learning on Point Clouds. arXiv:1801.07829. (2018-01-24)
21. Flex-Convolution: F. Groh, et al.. Flex-Convolution. (Million-Scale Point-Cloud Learning Beyond Grid-Worlds). ACCV2018.
(2018-03-20)
22. PCNN: M. Atzmon, et al.. Point Convolutional Neural Networks by Extension Operators. SIGGRAPH2018. (2018-03-27)
23. SpiderCNN: Y. Xu, et al.. SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters. ECCV2018.
(2018-03-30)
24. Parametric Continuous Convolutions: S. Wang, et al.. Deep Parametric Continuous Convolutional Neural Networks.
CVPR2018. (2018-06-18)
25. Tangent Convolution: M. Tatarchenko, et al.. Tangent Convolutions for Dense Prediction in 3D.
CVPR2018. (2018-06-18)
26. SCN: S. Xie, et al.. Attentional ShapeContextNet for Point Cloud Recognition. CVPR2018. (2018-06-18)
Google Spreadsheetsで公開しています
https://docs.google.com/spreadsheets/d/1MJTdLHIRefclx4GkZkfZxFj9GIxLSjit_f32j_DR9gw/edit?usp=sharing
6. まとめた論文の一覧 (3/3)
特殊なレイヤー
27. SEGCloud: L. P. Tchapmi, et al.. SEGCloud: Semantic Segmentation of 3D Point Clouds. 3DV2017. (2017-10-20)
28. FoldingNet: Y. Yang, et al.. FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation. CVPR2018. (2017-12-19)
29. SPLATNet: H. Su, et al.. SPLATNet: Sparse Lattice Networks for Point Cloud Processing. CVPR2018. (2018-02-22)
30. URSA: M. B. Skouson. URSA: A Neural Network for Unordered Point Clouds Using Constellations. arXiv:1808.04848.
(2018-08-14)
31. Point Cloud VAE-GAN: C. Kingkan, et al.. Generating Mesh-based Shapes From Learned Latent Spaces of Point Clouds
with VAE-GAN. ICPR2018. (2018-08-20)
32. Fully Convolutional Point Network: D. Rethage, et al.. Fully-Convolutional Point Networks for Large-Scale Point Clouds.
ECCV2018. (2018-08-21)
33. PPF-FoldingNet: H. Deng, et al.. PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. ECCV2018.
(2018-08-30)
個別のアプリケーション
34. PCPNet: P. Guerrero, et al.. PCPNET: Learning Local Shape Properties from Raw Point Clouds. Eurographics2018. (2017-10-13)
35. Frustum PointNet: C. R. Qi, et al.. Frustum PointNets for 3D Object Detection from RGB-D Data. CVPR2018. (2017-11-22)
36. SGPN: W. Wang, et al.. SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation. CVPR2018.
(2017-11-23)
37. PU-Net: L. Yu, et al.. PU-Net: Point Cloud Upsampling Network. CVPR2018. (2018-01-21)
38. Hand PointNet: L. Ge, et al.. Hand PointNet: 3D Hand Pose Estimation Using Point Sets. CVPR2018. (2018-06-18)
39. Point Attention Network: C. Kingkan, et al.. Point Attention Network for Gesture Recognition Using Point Cloud Data.
BMVC2018. (2018-09-03)
40. P2P Reg PointNet: L. Ge, et al.. Point-to-Point Regression PointNet for 3D Hand Pose Estimation. ECCV2018. (2018-10-08)
まだたくさんあるとは思いますが,今回は以上の論文を扱います
分類も難しかったのですが,とりあえず以上のように分けました
Google Spreadsheetsで公開しています
https://docs.google.com/spreadsheets/d/1MJTdLHIRefclx4GkZkfZxFj9GIxLSjit_f32j_DR9gw/edit?usp=sharing