Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Charles, R. Q.; Su, H.; Kaichun, M.; and Guibas, L. J. 2017 · 2017

Earlier work this paper cites.

PointNet++: deep hierarchical feature learning on point sets in a metric space

Qi, C. R.; Yi, L.; Su, H.; and Guibas, L. J. 2017 · 2017

Earlier work this paper cites.

PointCNN: convolution on 𝒳 \mathcal{X} -transformed points

Li, Y.; Bu, R.; Sun, M.; Wu, W.; Di, X.; and Chen, B. 2018 · 2018

Earlier work this paper cites.

FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation

Yang, Y.; Feng, C.; Shen, Y.; and Tian, D. 2018 · 2018

Earlier work this paper cites.

PCN: Point Completion Network

Yuan, W.; Khot, T.; Held, D.; Mertz, C.; and Hebert, M. 2018 · 2018

Earlier work this paper cites.

PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding

Mo, K.; Zhu, S.; Chang, A. X.; Yi, L.; Tripathi, S.; Guibas, L. J.; and Su, H. 2019 · 2019

Earlier work this paper cites.

TopNet: Structural Point Cloud Decoder

Tchapmi, L. P.; Kosaraju, V.; Rezatofighi, H.; Reid, I.; and Savarese, S. 2019 · 2019

Earlier work this paper cites.

Dynamic Graph CNN for Learning on Point Clouds

Wang, Y.; Sun, Y.; Liu, Z.; Sarma, S. E.; Bronstein, M. M.; and Solomon, J. M. 2019 · 2019

Earlier work this paper cites.

PointConv: Deep Convolutional Networks on 3D Point Clouds

Wu, W.; Qi, Z.; and Fuxin, L. 2019 · 2019

Earlier work this paper cites.

PF-Net: Point Fractal Network for 3D Point Cloud Completion

Huang, Z.; Yu, Y.; Xu, J.; Ni, F.; and Le, X. 2020 · 2020

Earlier work this paper cites.

Multimodal Shape Completion via Conditional Generative Adversarial Networks

Wu, R.; Chen, X.; Zhuang, Y.; and Chen, B. 2020 · 2020

Earlier work this paper cites.

GRNet: Gridding Residual Network for Dense Point Cloud Completion

Xie, H.; Yao, H.; Zhou, S.; Mao, J.; Zhang, S.; and Sun, W. 2020 · 2020

Earlier work this paper cites.

Diffusion Probabilistic Models for 3D Point Cloud Generation

Luo, S.; and Hu, W. 2021 · 2021

Earlier work this paper cites.

Variational Relational Point Completion Network

Pan, L.; Chen, X.; Cai, Z.; Zhang, J.; Zhao, H.; Yi, S.; and Liu, Z. 2021 · 2021

Cited alongside, same era.

PoinTr: Diverse Point Cloud Completion With Geometry-Aware Transformers

Yu, X.; Rao, Y.; Wang, Z.; Liu, Z.; Lu, J.; and Zhou, J. 2021 · 2021

Cited alongside, same era.

View-Guided Point Cloud Completion

Zhang, X.; Feng, Y.; Li, S.; Zou, C.; Wan, H.; Zhao, X.; Guo, Y.; and Gao, Y. 2021 · 2021

Cited alongside, same era.

Point Transformer

Zhao, H.; Jiang, L.; Jia, J.; Torr, P.; and Koltun, V. 2021 · 2021

Cited alongside, same era.

3D Shape Generation and Completion Through Point-Voxel Diffusion

Zhou, L.; Du, Y.; and Wu, J. 2021 · 2021

Cited alongside, same era.

Cross-modal Learning for Image-Guided Point Cloud Shape Completion

Aiello, E.; Valsesia, D.; and Magli, E. 2022 · 2022

Cited alongside, same era.

Point Cloud Completion with Pretrained Text-to-Image Diffusion Models

Kasten, Y.; Rahamim, O.; and Chechik, G. 2023 · 2023

Later among the works it cites.

Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion

Ma, C.; Chen, Y.; Guo, P.; Guo, J.; Wang, C.; and Guo, Y. 2023 · 2023

Later among the works it cites.

DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion

Nakayama, G. K.; Uy, M. A.; Huang, J.; Hu, S.-M.; Li, K.; and Guibas, L. 2023 · 2023

Later among the works it cites.

FCNet: Learning Noise-Free Features for Point Cloud Denoising

Wang, X.; Cui, W.; Xiong, R.; Fan, X.; and Zhao, D. 2023 · 2023

Later among the works it cites.

PointFilterNet: A Filtering Network for Point Cloud Denoising

Wang, X.; Fan, X.; and Zhao, D. 2023 · 2023

Later among the works it cites.

CSDN: Cross-Modal Shape-Transfer Dual-Refinement Network for Point Cloud Completion