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Yan, Q.[Qingan],
Xiao, C.X.[Chun-Xia],
Shape-controllable geometry completion for point cloud models,
VC(33), No. 3, March 2017, pp. 385-398.
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BibRef
Liu, H.M.[Hong-Min],
Tang, X.C.[Xin-Cheng],
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Depth-map completion for large indoor scene reconstruction,
PR(99), 2020, pp. 107112.
Elsevier DOI
1912
Depth completion, MVS, 3D Reconstruction, Point cloud,
BibRef
Xia, Y.[Yan],
Xu, Y.S.[Yu-Sheng],
Wang, C.[Cheng],
Stilla, U.[Uwe],
VPC-Net: Completion of 3D vehicles from MLS point clouds,
PandRS(174), 2021, pp. 166-181.
Elsevier DOI
2103
Shape completion, 3D vehicle monitoring, Point clouds,
Deep learning, Urban scene
BibRef
Wu, H.[Hang],
Miao, Y.B.[Yu-Bin],
Fu, R.C.[Ruo-Chong],
Point cloud completion using multiscale feature fusion and
cross-regional attention,
IVC(111), 2021, pp. 104193.
Elsevier DOI
2106
BibRef
Earlier: A1, A2, Only:
Cross-Regional Attention Network for Point Cloud Completion,
ICPR21(10274-10280)
IEEE DOI
2105
3D vision, Point cloud completion, Conditional local feature,
Cross-regional attention.
Learning systems, Shape, Fuses,
Convolution, Maintenance engineering, Feature extraction,
cross-regional attention
BibRef
Wang, Y.[Yida],
Tan, D.J.[David Joseph],
Navab, N.[Nassir],
Tombari, F.[Federico],
SoftPool++: An Encoder-Decoder Network for Point Cloud Completion,
IJCV(130), No. 5, May 2022, pp. 1145-1164.
Springer DOI
2205
BibRef
Wang, D.[Di],
Tang, L.[Lulu],
Zhu, L.[Lei],
Yang, Z.X.[Zhi-Xin],
Mutual Information Maximization Based Similarity Operation for 3D
Point Cloud Completion Network,
SPLetters(29), 2022, pp. 1217-1221.
IEEE DOI
2206
Point cloud compression, Shape, Feature extraction,
Mutual information, Deep learning, Task analysis, Deep learning,
point cloud completion
BibRef
Wei, M.[Ming],
Zhu, M.[Ming],
Zhang, Y.Y.[Yao-Yuan],
Sun, J.Q.[Jia-Qi],
Wang, J.R.[Jia-Rong],
Cyclic Global Guiding Network for Point Cloud Completion,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Liu, X.[Xinpu],
Ma, Y.X.[Yan-Xin],
Xu, K.[Ke],
Wang, L.[Ling],
Wan, J.W.[Jian-Wei],
KASiam: Keypoints-Aligned Siamese Network for the Completion of
Partial TLS Point Clouds,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Lu, F.[Fan],
Chen, G.[Guang],
Li, Z.J.[Zhi-Jun],
Zhang, L.J.[Li-Jun],
Liu, Y.L.[Yin-Long],
Qu, S.Q.[San-Qing],
Knoll, A.[Alois],
MoNet: Motion-Based Point Cloud Prediction Network,
ITS(23), No. 8, August 2022, pp. 13794-13804.
IEEE DOI
2208
Point cloud compression, Feature extraction, Pipelines,
Predictive models, Trajectory, Correlation, Point cloud, prediction,
autonomous driving
BibRef
Zou, T.P.[Tian-Pei],
Chen, G.[Guang],
Lu, F.[Fan],
Li, Z.J.[Zhi-Jun],
Qu, S.Q.[San-Qing],
Knoll, A.[Alois],
Jiang, C.J.[Chang-Jun],
RPP-Net: Rigid Constrained Point Cloud Prediction Network,
ITS(24), No. 9, September 2023, pp. 9344-9354.
IEEE DOI
2310
BibRef
Gao, F.[Fang],
Shi, P.[Pengbo],
Wang, J.B.[Jia-Bao],
Li, W.B.[Wen-Bo],
Wang, Y.X.[Yao-Xiong],
Yu, J.[Jun],
Li, Y.[Yong],
Shuang, F.[Feng],
Dual feature fusion network:
A dual feature fusion network for point cloud completion,
IET-CV(16), No. 6, 2022, pp. 541-555.
DOI Link
2208
BibRef
Gao, F.[Fang],
Liu, Y.[Yong],
Shi, P.[Pengbo],
Jin, Y.[Yan],
Yu, J.[Jun],
Li, S.D.[Shao-Dong],
Dual-scale point cloud completion network based on high-frequency
feature fusion,
IVC(139), 2023, pp. 104818.
Elsevier DOI Code:
WWW Link.
2311
Point cloud, Voxel, Dual-scale, Feature fusion, Shape completion
BibRef
Wang, X.G.[Xiao-Gang],
Ang, M.H.[Marcelo H.],
Lee, G.H.[Gim Hee],
Cascaded Refinement Network for Point Cloud Completion With
Self-Supervision,
PAMI(44), No. 11, November 2022, pp. 8139-8150.
IEEE DOI
2210
BibRef
Earlier:
Cascaded Refinement Network for Point Cloud Completion,
CVPR20(787-796)
IEEE DOI
2008
Feature extraction, Shape, Training, Task analysis,
Supervised learning, Kernel, 3D learning, point cloud completion,
coarse-to-fine.
Shape, Generators.
BibRef
Fei, B.[Ben],
Yang, W.D.[Wei-Dong],
Ma, L.P.[Li-Peng],
Chen, W.M.[Wen-Ming],
DcTr: Noise-robust point cloud completion by dual-channel transformer
with cross-attention,
PR(133), 2023, pp. 109051.
Elsevier DOI
2210
Point cloud, 3D Vision, Transformer, Cross-attention, Dual-channel transformer
BibRef
Liu, X.P.[Xin-Pu],
Xu, G.Q.[Guo-Quan],
Xu, K.[Ke],
Wan, J.W.[Jian-Wei],
Ma, Y.X.[Yan-Xin],
Point cloud completion by dynamic transformer with adaptive
neighbourhood feature fusion,
IET-CV(16), No. 7, 2022, pp. 619-631.
DOI Link
2210
BibRef
Zhang, Y.H.[Yu-Hang],
Miao, Z.W.[Zhen-Wei],
Mi, T.[Tiebin],
Li, J.[Jie],
Qiu, R.C.[Robert C.],
Dual adversarial model: Exploring low-dimensional space features for
point clouds generating and completing,
CVIU(223), 2022, pp. 103551.
Elsevier DOI
2210
Dual adversarial model, Point cloud, Generating, Completing
BibRef
Hao, R.D.[Rui-Dong],
Wei, Z.H.[Zhong-Hui],
He, X.[Xu],
Zhu, K.F.[Kai-Feng],
Wang, J.[Jun],
He, J.W.[Jia-Wei],
Zhang, L.[Lei],
Multistage Adaptive Point-Growth Network for Dense Point Cloud
Completion,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Wen, X.[Xin],
Xiang, P.[Peng],
Han, Z.Z.[Zhi-Zhong],
Cao, Y.P.[Yan-Pei],
Wan, P.F.[Peng-Fei],
Zheng, W.[Wen],
Liu, Y.S.[Yu-Shen],
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step
Point Moving Paths,
PAMI(45), No. 1, January 2023, pp. 852-867.
IEEE DOI
2212
BibRef
Earlier:
PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving
Paths,
CVPR21(7439-7448)
IEEE DOI
2111
Point cloud compression, Shape, Feature extraction, Task analysis,
Transformers, Representation learning, Point clouds, up-sampling.
Earth, Codes, Neural networks, Topology
BibRef
Xiang, P.[Peng],
Wen, X.[Xin],
Liu, Y.S.[Yu-Shen],
Cao, Y.P.[Yan-Pei],
Wan, P.F.[Peng-Fei],
Zheng, W.[Wen],
Han, Z.Z.[Zhi-Zhong],
Snowflake Point Deconvolution for Point Cloud Completion and
Generation With Skip-Transformer,
PAMI(45), No. 5, May 2023, pp. 6320-6338.
IEEE DOI
2304
BibRef
Earlier:
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution
with Skip-Transformer,
ICCV21(5479-5489)
IEEE DOI
2203
Point cloud compression, Shape,
Task analysis, Decoding, Transformers, Image reconstruction, transformer.
Geometry, Solid modeling, Deconvolution,
Codes, Stereo, 3D from multiview and other sensors,
3D from a single image and shape-from-x
BibRef
Wen, X.[Xin],
Li, T.Y.[Tian-Yang],
Han, Z.Z.[Zhi-Zhong],
Liu, Y.S.[Yu-Shen],
Point Cloud Completion by Skip-Attention Network With Hierarchical
Folding,
CVPR20(1936-1945)
IEEE DOI
2008
Shape, Decoding, Feature extraction,
Geometry
BibRef
Zhou, J.S.[Jun-Sheng],
Ma, B.R.[Bao-Rui],
Li, S.J.[Shu-Juan],
Liu, Y.S.[Yu-Shen],
Fang, Y.[Yi],
Han, Z.Z.[Zhi-Zhong],
CAP-UDF: Learning Unsigned Distance Functions Progressively From Raw
Point Clouds With Consistency-Aware Field Optimization,
PAMI(46), No. 12, December 2024, pp. 7475-7492.
IEEE DOI
2411
Point cloud compression, Surface reconstruction, Shape,
Neural networks, Estimation, Training, Normal estimation,
unsigned distance functions
BibRef
Li, S.T.[Sheng-Tao],
Gao, G.[Ge],
Liu, Y.D.[Yu-Dong],
Gu, M.[Ming],
Liu, Y.S.[Yu-Shen],
Implicit Filtering for Learning Neural Signed Distance Functions from
3d Point Clouds,
ECCV24(VI: 234-251).
Springer DOI
2412
BibRef
Chen, C.[Chao],
Liu, Y.S.[Yu-Shen],
Han, Z.Z.[Zhi-Zhong],
NeuralTPS: Learning Signed Distance Functions Without Priors from
Single Sparse Point Clouds,
PAMI(47), No. 1, January 2025, pp. 565-582.
IEEE DOI
2412
BibRef
Earlier:
Unsupervised Inference of Signed Distance Functions from Single
Sparse Point Clouds without Learning Priors,
CVPR23(17712-17723)
IEEE DOI
2309
Point cloud compression, Surface reconstruction,
Splines (mathematics), Neural networks, Training, Estimation, Shape,
surface reconstruction
BibRef
Noda, T.[Takeshi],
Chen, C.[Chao],
Zhou, J.S.[Jun-Sheng],
Zhang, W.Q.[Wei-Qi],
Liu, Y.S.[Yu-Shen],
Han, Z.Z.[Zhi-Zhong],
Learning Bijective Surface Parameterization for Inferring Signed
Distance Functions from Sparse Point Clouds with Grid Deformation,
CVPR25(22139-22149)
IEEE DOI Code:
WWW Link.
2508
Point cloud compression, Training, Surface reconstruction,
Accuracy, Deformation, Shape, Robustness, Optimization
BibRef
Ma, B.R.[Bao-Rui],
Liu, Y.S.[Yu-Shen],
Zwicker, M.[Matthias],
Han, Z.Z.[Zhi-Zhong],
Surface Reconstruction from Point Clouds by Learning Predictive
Context Priors,
CVPR22(6316-6327)
IEEE DOI
2210
Point cloud compression, Measurement, Surface reconstruction,
Shape, Benchmark testing, 3D from multi-view and sensors, Vision + graphics
BibRef
Han, Z.Z.[Zhi-Zhong],
Wang, X.,
Liu, Y.S.[Yu-Shen],
Zwicker, M.[Matthias],
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D
Point Clouds From Multiple Angles by Joint Self-Reconstruction and
Half-to-Half Prediction,
ICCV19(10441-10450)
IEEE DOI
2004
computational geometry, feature extraction,
unsupervised learning, shape generation, RNN, MAP-VAE,
BibRef
Ma, B.R.[Bao-Rui],
Liu, Y.S.[Yu-Shen],
Han, Z.Z.[Zhi-Zhong],
Reconstructing Surfaces for Sparse Point Clouds with On-Surface
Priors,
CVPR22(6305-6315)
IEEE DOI
2210
Point cloud compression, Surface reconstruction, Codes,
Neural networks, Benchmark testing, Vision + graphics
BibRef
Fei, B.[Ben],
Yang, W.D.[Wei-Dong],
Chen, W.M.[Wen-Ming],
Li, Z.J.[Zhi-Jun],
Li, Y.K.[Yi-Kang],
Ma, T.[Tao],
Hu, X.[Xing],
Ma, L.P.[Li-Peng],
Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion
Processing and Analysis,
ITS(23), No. 12, December 2022, pp. 22862-22883.
IEEE DOI
2212
Point cloud compression, Solid modeling, Shape, Task analysis,
Laser radar, Deep learning, Deep learning, point cloud, completion, 3D vision
BibRef
Fei, B.[Ben],
Liu, L.W.[Li-Wen],
Luo, T.Y.[Tian-Yue],
Yang, W.D.[Wei-Dong],
Ma, L.P.[Li-Ping],
Li, Z.J.[Zhi-Jun],
Chen, W.M.[Wen-Ming],
Point Patches Contrastive Learning for Enhanced Point Cloud
Completion,
MultMed(27), 2025, pp. 581-596.
IEEE DOI
2502
Point cloud compression, Decoding, Feature extraction,
Contrastive learning, Transformers, Shape, Mutual information,
point cloud completion
BibRef
Tan, L.[Lei],
Lin, X.[Xue],
Niu, D.M.[Dong-Mei],
Wang, D.[Daole],
Yin, M.[Miao],
Zhao, X.[Xiuyang],
Projected Generative Adversarial Network for Point Cloud Completion,
CirSysVideo(33), No. 2, February 2023, pp. 771-781.
IEEE DOI
2302
Point cloud compression, Feature extraction, Shape, Task analysis,
Skeleton, Cameras, Point cloud completion, deep learning
BibRef
Zhang, C.L.[Chun-Lan],
Lin, C.Y.[Chun-Yu],
Liao, K.[Kang],
Huang, S.J.[Shu-Juan],
Zhao, Y.[Yao],
Monocular Pseudo-LiDAR Point Cloud Extrapolation Based on Iterative
Hybrid Rendering,
ITS(24), No. 3, March 2023, pp. 2814-2826.
IEEE DOI
2303
Point cloud compression, Extrapolation, Cameras, Laser radar,
Rendering (computer graphics), Task analysis, Monocular, multiplane images
BibRef
Xi, L.[Long],
Tang, W.[Wen],
Wan, T.R.[Tao-Ruan],
TreeNet: Structure preserving multi-class 3D point cloud completion,
PR(139), 2023, pp. 109476.
Elsevier DOI
2304
3D Point cloud completion, Multi-class training,
Hierarchical tree, Artificial intelligence, Deep learning
BibRef
Ibrahim, Y.[Yahya],
Benedek, C.[Csaba],
MVPCC-Net: Multi-View Based Point Cloud Completion Network for MLS
data,
IVC(134), 2023, pp. 104675.
Elsevier DOI
2305
Multi-view, 3D point cloud completion, Deep learning, Mobile laser scanning
BibRef
Xu, M.[Mingye],
Wang, Y.[Yali],
Liu, Y.H.[Yi-Hao],
He, T.[Tong],
Qiao, Y.[Yu],
CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict
Paradigm,
PAMI(45), No. 8, August 2023, pp. 9583-9594.
IEEE DOI
2307
Point cloud compression, Semantics, Shape, Task analysis, Modulation,
Training, Point cloud completion, prompting,
semantic refinement
BibRef
Zhang, S.P.[Sheng-Ping],
Liu, X.Z.[Xian-Zhu],
Xie, H.Z.[Hao-Zhe],
Nie, L.Q.[Li-Qiang],
Zhou, H.Y.[Hui-Yu],
Tao, D.C.[Da-Cheng],
Li, X.L.[Xue-Long],
Learning Geometric Transformation for Point Cloud Completion,
IJCV(131), No. 9, September 2023, pp. 2425-2445.
Springer DOI
2308
BibRef
Xu, J.[Jiabo],
Wan, Z.Y.[Ze-Yun],
Wei, J.B.[Jing-Bo],
Learning Contours for Point Cloud Completion,
RS(15), No. 17, 2023, pp. 4338.
DOI Link
2310
BibRef
Zhao, B.[Bufan],
Chen, X.J.[Xi-Jiang],
Hua, X.[Xianghong],
Xuan, W.[Wei],
Lichti, D.D.[Derek D.],
Completing point clouds using structural constraints for large-scale
points absence in 3D building reconstruction,
PandRS(204), 2023, pp. 163-183.
Elsevier DOI
2310
Point cloud, Façade completion, Data refinement,
Building structure, Cloth simulation
BibRef
Xiao, H.H.[Hai-Hong],
Li, Y.Q.[Yu-Qiong],
Kang, W.X.[Wen-Xiong],
Wu, Q.X.[Qiu-Xia],
Distinguishing and Matching-Aware Unsupervised Point Cloud Completion,
CirSysVideo(33), No. 9, September 2023, pp. 5160-5173.
IEEE DOI
2310
BibRef
Huang, T.X.[Tian-Xin],
Zou, H.[Hao],
Cui, J.H.[Jin-Hao],
Zhang, J.N.[Jiang-Ning],
Yang, X.M.[Xue-Meng],
Li, L.[Lin],
Liu, Y.[Yong],
Adaptive Recurrent Forward Network for Dense Point Cloud Completion,
MultMed(25), 2023, pp. 5903-5915.
IEEE DOI
2311
BibRef
Huang, T.X.[Tian-Xin],
Zou, H.[Hao],
Cui, J.H.[Jin-Hao],
Yang, X.M.[Xue-Meng],
Wang, M.M.[Meng-Meng],
Zhao, X.R.[Xiang-Rui],
Zhang, J.N.[Jiang-Ning],
Yuan, Y.[Yi],
Xu, Y.F.[Yi-Fan],
Liu, Y.[Yong],
RFNet: Recurrent Forward Network for Dense Point Cloud Completion,
ICCV21(12488-12497)
IEEE DOI
2203
Point cloud compression, Learning systems, Costs, Shape, Pipelines,
3D from a single image and shape-from-x, Representation learning
BibRef
Yu, X.[Xumin],
Rao, Y.M.[Yong-Ming],
Wang, Z.Y.[Zi-Yi],
Lu, J.W.[Ji-Wen],
Zhou, J.[Jie],
AdaPoinTr: Diverse Point Cloud Completion With Adaptive
Geometry-Aware Transformers,
PAMI(45), No. 12, December 2023, pp. 14114-14130.
IEEE DOI
2311
BibRef
Yu, X.[Xumin],
Wang, Y.B.[Yan-Bo],
Zhou, J.[Jie],
Lu, J.W.[Ji-Wen],
ProtoComp: Diverse Point Cloud Completion with Controllable Prototype,
ECCV24(L: 270-286).
Springer DOI
2412
BibRef
Yu, X.[Xumin],
Rao, Y.M.[Yong-Ming],
Wang, Z.[Ziyi],
Liu, Z.[Zuyan],
Lu, J.W.[Ji-Wen],
Zhou, J.[Jie],
PoinTr: Diverse Point Cloud Completion with Geometry-Aware
Transformers,
ICCV21(12478-12487)
IEEE DOI
2203
Point cloud compression, Technological innovation,
Solid modeling, Computational modeling,
3D from multiview and other sensors
BibRef
Zhang, Z.X.[Zhen-Xin],
Leng, S.[Siyi],
Zhang, L.Q.[Li-Qiang],
Cross-domain point cloud completion for multi-class indoor incomplete
objects via class-conditional GAN inversion,
PandRS(206), 2023, pp. 118-131.
Elsevier DOI Code:
WWW Link.
2312
Point cloud completion, Indoor objects, Conditional GAN,
GAN inversion, Cross domain, Deep learning
BibRef
Wei, M.[Ming],
Sun, J.Q.[Jia-Qi],
Zhang, Y.Y.[Yao-Yuan],
Zhu, M.[Ming],
Nie, H.T.[Hai-Tao],
Liu, H.Y.[Hui-Ying],
Wang, J.[Jiarong],
A Partial Point Cloud Completion Network Focusing on Detail
Reconstruction,
RS(15), No. 23, 2023, pp. 5504.
DOI Link
2312
BibRef
Xiao, Y.[Yu],
Chen, Y.S.[Yi-Sheng],
Chen, C.C.[Chong-Cheng],
Lin, D.[Ding],
GSSnowflake: Point Cloud Completion by Snowflake with Grouped Vector
and Self-Positioning Point Attention,
RS(16), No. 17, 2024, pp. 3127.
DOI Link
2409
BibRef
Chen, Z.K.[Zhi-Kai],
Long, F.C.[Fu-Chen],
Qiu, Z.F.[Zhao-Fan],
Yao, T.[Ting],
Zhou, W.G.[Wen-Gang],
Luo, J.B.[Jie-Bo],
Mei, T.[Tao],
Learning 3D Shape Latent for Point Cloud Completion,
MultMed(26), 2024, pp. 8717-8729.
IEEE DOI
2408
Shape, Point cloud compression, Solid modeling, Noise reduction, Decoding,
Feature extraction, Point cloud completion,
denoising diffusion probabilistic model
BibRef
Qiu, Z.F.[Zhao-Fan],
Yao, T.[Ting],
Ngo, C.W.[Chong-Wah],
Mei, T.[Tao],
MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing,
CVPR22(3052-3062)
IEEE DOI
2210
Visualization, Transformers,
Complexity theory, Video analysis and understanding
BibRef
Xiao, H.H.[Hai-Hong],
He, Y.[Ying],
Liu, H.[Hao],
Kang, W.X.[Wen-Xiong],
Li, Y.Q.[Yu-Qiong],
Point Cloud Completion via Self-Projected View Augmentation and
Implicit Field Constraint,
CirSysVideo(34), No. 11, November 2024, pp. 11564-11578.
IEEE DOI
2412
Point cloud compression, Shape, Task analysis,
Surface reconstruction, Surface fitting, Noise, 3D point cloud, 3D vision
BibRef
Zhu, L.P.[Li-Ping],
Yang, Y.X.[Yi-Xuan],
Liu, K.[Kai],
Wu, S.[Silin],
Wang, B.Y.[Bing-Yao],
Chang, X.X.[Xian-Xiang],
Regional dynamic point cloud completion network,
PRL(186), 2024, pp. 322-329.
Elsevier DOI
2412
Point cloud shape completion, Deep learning, Edge convolution,
Stored distance iteration, Self-attention mechanism
BibRef
Shi, C.[Chao],
Zhang, C.Y.[Chong-Yang],
Luo, Y.[Yan],
Qian, Z.F.[Ze-Feng],
Zhao, M.[Muming],
S²CNet: Semantic and Structure Completion Network for 3D Object
Detection,
ITS(25), No. 11, November 2024, pp. 17134-17146.
IEEE DOI
2411
Feature extraction, Semantics, Proposals, Point cloud compression, Detectors,
Object detection, 3D object detection, point cloud, autonomous driving
BibRef
Guo, Q.[Qing],
Wang, Z.J.[Zhi-Jie],
Wang, L.[Lubo],
Dong, H.T.[Hao-Tian],
Juefei-Xu, F.[Felix],
Lin, D.[Di],
Ma, L.[Lei],
Feng, W.[Wei],
Liu, Y.[Yang],
CarveNet: Carving Point-Block for Complex 3D Shape Completion,
MultMed(27), 2025, pp. 1047-1058.
IEEE DOI
2502
Point cloud compression, Shape, Semantics, Convolution,
Sensors, Point cloud completion, SensorAug
BibRef
Li, S.S.[Shan-Shan],
Gao, P.[Pan],
Tan, X.Y.[Xiao-Yang],
Xiang, W.[Wei],
RLGrid: Reinforcement Learning Controlled Grid Deformation for
Coarse-to-Fine Point Cloud Completion,
MultMed(27), 2025, pp. 860-874.
IEEE DOI
2502
Point cloud compression, Shape, Deformation,
Reinforcement learning, Feature extraction
BibRef
Wu, L.[Lintai],
Zhang, Q.J.[Qi-Jian],
Hou, J.H.[Jun-Hui],
Xu, Y.[Yong],
Leveraging Single-View Images for Unsupervised 3D Point Cloud
Completion,
MultMed(27), 2025, pp. 940-953.
IEEE DOI
2502
Point cloud compression, Shape, Feature extraction,
Image reconstruction, Training, Fuses, Cross-modality, unsupervised learning
BibRef
Fu, Z.H.[Zhi-Heng],
Guo, Y.L.[Yu-Lan],
Chen, M.L.[Ming-Lin],
Hu, Q.Y.[Qing-Yong],
Laga, H.[Hamid],
Boussaid, F.[Farid],
Bennamoun, M.[Mohammed],
WSSIC-Net: Weakly-Supervised Semantic Instance Completion of 3D Point
Cloud Scenes,
IP(34), 2025, pp. 2008-2019.
IEEE DOI
2504
Point cloud compression, Shape, Semantics, Object detection, Proposals,
Image reconstruction, Generative adversarial networks, 3D completion
BibRef
Gu, S.T.[Shang-Tai],
Xu, K.[Ke],
Wan, J.W.[Jian-Wei],
Hou, B.L.[Bao-Lin],
Ma, Y.X.[Yan-Xin],
Research on Multi-Modal Point Cloud Completion Algorithm Guided by
Image Rotation Attention,
RS(17), No. 8, 2025, pp. 1448.
DOI Link
2505
BibRef
Peng, K.[Kun],
Li, S.K.[Shan-Ke],
Hui, F.[Fei],
Mu, K.N.[Ke-Nan],
A Novel GAN-Based Point Cloud Completion Network for 3D Object
Enhancement,
SPLetters(32), 2025, pp. 2499-2503.
IEEE DOI
2507
Point cloud compression, Feature extraction, Training, Shape, Generators,
Robustness, Predictive models, Interpolation, self-attention
BibRef
Fu, Z.H.[Zhi-Heng],
Zhang, J.[Jiehua],
Wang, L.G.[Long-Guang],
Xu, L.[Lian],
Laga, H.[Hamid],
Guo, Y.L.[Yu-Lan],
Boussaid, F.[Farid],
Bennamoun, M.[Mohammed],
CompletionMamba: Taming State Space Model for Point Cloud Completion,
IP(34), 2025, pp. 5473-5485.
IEEE DOI
2509
Point cloud compression, Shape, Mathematical models,
Computational modeling, Transformers, Australia,
short-long-range dependency
BibRef
Du, Z.J.[Zhen-Jiang],
Liu, Z.T.[Zhi-Tao],
Wang, G.[Guan],
Wei, J.[Jiwei],
Yussif, S.B.[Sophyani Banaamwini],
Wang, Z.[Zheng],
Xie, N.[Ning],
Yang, Y.[Yang],
CMNet: Cross-Modal Coarse-to-Fine Network for Point Cloud Completion
Based on Patches,
CirSysVideo(35), No. 9, September 2025, pp. 9132-9147.
IEEE DOI
2509
Point cloud compression, Shape, Feature extraction, Generators,
Deep learning, Decoding, Data mining, Training, Transformers, coarse-to-fine
BibRef
Liang, H.[Hao],
He, Z.[Zhaoshui],
Wang, X.[Xu],
Su, W.Q.[Wen-Qing],
Tan, J.[Ji],
Xie, S.L.[Sheng-Li],
HGG-Net: Hierarchical Geometry Generation Network for Point Cloud
Completion,
ITS(26), No. 9, September 2025, pp. 12999-13010.
IEEE DOI Code:
WWW Link.
2510
Geometry, Point cloud compression, Shape, Feature extraction,
Decoding, Transformers, Attention mechanisms, Semantics, deep learning
BibRef
Luan, F.[Feng],
Hu, J.R.[Jia-Rui],
Wang, Z.P.[Zhi-Peng],
Yue, J.G.[Ji-Guang],
Zhou, Y.M.[Yan-Min],
He, B.[Bin],
Transition-Aware Point Cloud Completion by a Progressive Refinement
Generative Adversarial Network,
MultMed(27), 2025, pp. 6070-6079.
IEEE DOI
2510
Point cloud compression, Feature extraction, Shape, Decoding,
Data mining, Generative adversarial networks, Accuracy,
attention mechanism
BibRef
Chen, Z.[Zhaiyu],
Wang, Y.Q.[Yu-Qing],
Nan, L.L.[Liang-Liang],
Zhu, X.X.[Xiao Xiang],
Parametric Point Cloud Completion for Polygonal Surface
Reconstruction,
CVPR25(11749-11758)
IEEE DOI Code:
WWW Link.
2508
Point cloud compression, Geometry, Surface reconstruction,
Accuracy, Shape, Reconstruction algorithms, Encoding, Standards,
structured geometry recovery
BibRef
Li, A.[An],
Zhu, Z.[Zhe],
Wei, M.Q.[Ming-Qiang],
GenPC: Zero-shot Point Cloud Completion via 3D Generative Priors,
CVPR25(1308-1318)
IEEE DOI Code:
WWW Link.
2508
Point cloud compression, Training, Solid modeling, Shape,
Computational modeling, Data models, Image reconstruction, 3DGS
BibRef
Li, A.[Aocheng],
Zimmer-Dauphinee, J.R.[James R.],
Kalyanam, R.[Rajesh],
Lindsay, I.[Ian],
Van Valkenburgh, P.[Parker],
Wernke, S.[Steven],
Aliaga, D.[Daniel],
Self-Supervised Large Scale Point Cloud Completion for Archaeological
Site Restoration,
CVPR25(11759-11768)
IEEE DOI
2508
Point cloud compression, Annotations, Surface roughness,
Image restoration, Rough surfaces, point cloud completion,
archaeological restoration
BibRef
Wei, G.S.[Guang-Shun],
Feng, Y.[Yuan],
Ma, L.[Long],
Wang, C.[Chen],
Zhou, Y.F.[Yuan-Feng],
Li, C.J.[Chang-Jian],
PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors,
CVPR25(27243-27253)
IEEE DOI
2508
Point cloud compression, Shape, Feature extraction
BibRef
Zhang, T.Y.[Tian-Yu],
Qian, G.C.[Guo-Cheng],
Xie, J.[Jin],
Yang, J.[Jian],
FastPCI: Motion-structure Guided Fast Point Cloud Frame Interpolation,
ECCV24(LXXIV: 251-267).
Springer DOI
2412
BibRef
Xu, H.[Hang],
Long, C.[Chen],
Zhang, W.X.[Wen-Xiao],
Liu, Y.[Yuan],
Cao, Z.[Zhen],
Dong, Z.[Zhen],
Yang, B.S.[Bi-Sheng],
Explicitly Guided Information Interaction Network for Cross-modal Point
Cloud Completion,
ECCV24(XII: 414-432).
Springer DOI
2412
BibRef
Cai, P.P.[Ping-Ping],
Zhang, C.[Canyu],
Shi, L.J.[Ling-Jia],
Wang, L.[Lili],
Imanpour, N.[Nasrin],
Wang, S.[Song],
Einet: Point Cloud Completion via Extrapolation and Interpolation,
ECCV24(XL: 377-393).
Springer DOI
2412
BibRef
Yang, Y.[Yunseo],
Kim, J.[Jihun],
Yoon, K.J.[Kuk-Jin],
Syn-to-real Domain Adaptation for Point Cloud Completion via Part-based
Approach,
ECCV24(LI: 179-197).
Springer DOI
2412
BibRef
Duan, F.[Fan],
Yu, J.H.[Jia-Hao],
Chen, L.[Li],
T-corresnet: Template Guided 3d Point Cloud Completion with
Correspondence Pooling Query Generation Strategy,
ECCV24(LXXXIV: 90-106).
Springer DOI
2412
BibRef
Fu, Z.H.[Zhi-Heng],
Wang, L.G.[Long-Guang],
Xu, L.[Lian],
Wang, Z.Y.[Zhi-Yong],
Laga, H.[Hamid],
Guo, Y.L.[Yu-Lan],
Boussaid, F.[Farid],
Bennamoun, M.[Mohammed],
Aednet: Adaptive Embedding and Multiview-aware Disentanglement for
Point Cloud Completion,
ECCV24(XI: 127-143).
Springer DOI
2412
BibRef
Wu, H.[Hang],
Miao, Y.[Yubin],
SO(3) Rotation Equivariant Point Cloud Completion using
Attention-based Vector Neurons,
3DV22(280-290)
IEEE DOI
2408
Point cloud compression, Training, Shape, Pipelines, Neurons, Feature extraction
BibRef
Fu, Z.H.[Zhi-Heng],
Wang, L.G.[Long-Guang],
Xu, L.[Lian],
Wang, Z.Y.[Zhi-Yong],
Laga, H.[Hamid],
Guo, Y.L.[Yu-Lan],
Boussaid, F.[Farid],
Bennamoun, M.[Mohammed],
VAPCNet: Viewpoint-Aware 3D Point Cloud Completion,
ICCV23(12074-12084)
IEEE DOI Code:
WWW Link.
2401
BibRef
Kim, J.[Jihun],
Kwon, H.[Hyeokjun],
Yang, Y.[Yunseo],
Yoon, K.J.[Kuk-Jin],
Learning Point Cloud Completion without Complete Point Clouds:
A Pose-Aware Approach,
ICCV23(14157-14167)
IEEE DOI
2401
BibRef
Cui, R.K.[Rui-Kai],
Qiu, S.[Shi],
Anwar, S.[Saeed],
Liu, J.W.[Jia-Wei],
Xing, C.[Chaoyue],
Zhang, J.[Jing],
Barnes, N.M.[Nick M.],
P2C: Self-Supervised Point Cloud Completion from Single Partial
Clouds,
ICCV23(14305-14314)
IEEE DOI Code:
WWW Link.
2401
BibRef
Lin, F.Z.[Fang-Zhou],
Yue, Y.[Yun],
Hou, S.L.[Song-Lin],
Yu, X.[Xuechu],
Xu, Y.J.[Ya-Jun],
Yamada, K.D.[Kazunori D],
Zhang, Z.M.[Zi-Ming],
Hyperbolic Chamfer Distance for Point Cloud Completion,
ICCV23(14549-14560)
IEEE DOI Code:
WWW Link.
2401
BibRef
Misik, A.[Adam],
Salihu, D.[Driton],
Brock, H.[Heike],
Steinbach, E.[Eckehard],
COCCA: Point Cloud Completion through CAD Cross-Attention,
ICIP23(580-584)
IEEE DOI
2312
BibRef
Chen, Z.K.[Zhi-Kai],
Long, F.C.[Fu-Chen],
Qiu, Z.F.[Zhao-Fan],
Yao, T.[Ting],
Zhou, W.G.[Wen-Gang],
Luo, J.B.[Jie-Bo],
Mei, T.[Tao],
AnchorFormer: Point Cloud Completion from Discriminative Nodes,
CVPR23(13581-13590)
IEEE DOI
2309
BibRef
Ma, C.F.[Chang-Feng],
Chen, Y.[Yinuo],
Guo, P.X.[Peng-Xiao],
Guo, J.[Jie],
Wang, C.J.[Chong-Jun],
Guo, Y.W.[Yan-Wen],
Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene
Point Cloud Completion,
CVPR23(13560-13569)
IEEE DOI
2309
BibRef
Zhang, J.M.[Jun-Ming],
Zhang, H.M.[Hao-Meng],
Vasudevan, R.[Ram],
Johnson-Roberson, M.[Matthew],
Hyperspherical Embedding for Point Cloud Completion,
CVPR23(5323-5332)
IEEE DOI
2309
BibRef
Li, S.S.[Shan-Shan],
Gao, P.[Pan],
Tan, X.Y.[Xiao-Yang],
Wei, M.Q.[Ming-Qiang],
ProxyFormer: Proxy Alignment Assisted Point Cloud Completion with
Missing Part Sensitive Transformer,
CVPR23(9466-9475)
IEEE DOI
2309
BibRef
Wu, M.X.[Meng-Xi],
Huang, H.[Hao],
Fang, Y.[Yi],
3D Point Cloud Completion with Geometric-Aware Adversarial
Augmentation,
ICPR22(4001-4007)
IEEE DOI
2212
Point cloud compression, Training,
Shape, Perturbation methods, Neural networks, 3D Point Cloud Completion
BibRef
Gong, J.Y.[Jing-Yu],
Liu, F.Q.[Feng-Qi],
Xu, J.C.[Jia-Chen],
Wang, M.[Min],
Tan, X.[Xin],
Zhang, Z.Z.[Zhi-Zhong],
Yi, R.[Ran],
Song, H.[Haichuan],
Xie, Y.[Yuan],
Ma, L.Z.[Li-Zhuang],
Optimization over Disentangled Encoding: Unsupervised Cross-Domain
Point Cloud Completion via Occlusion Factor Manipulation,
ECCV22(II:517-533).
Springer DOI
2211
BibRef
Yan, X.J.[Xue-Jun],
Yan, H.Y.[Hong-Yu],
Wang, J.J.[Jing-Jing],
Du, H.[Hang],
Wu, Z.H.[Zhi-Hong],
Xie, D.[Di],
Pu, S.L.[Shi-Liang],
Lu, L.[Li],
FBNet: Feedback Network for Point Cloud Completion,
ECCV22(II:676-693).
Springer DOI
2211
BibRef
Zhou, H.R.[Hao-Ran],
Cao, Y.[Yun],
Chu, W.Q.[Wen-Qing],
Zhu, J.W.[Jun-Wei],
Lu, T.[Tong],
Tai, Y.[Ying],
Wang, C.J.[Cheng-Jie],
SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample
Transformer,
ECCV22(III:416-432).
Springer DOI
2211
BibRef
Mok, Y.[Yeongheon],
Kim, M.[Mingi],
Kim, H.[Heegwang],
Paik, J.[Joonki],
Point Cloud Completion By Minimizing Prediction Errors In Both 2D And
3D Spaces,
ICIP22(3171-3175)
IEEE DOI
2211
Point cloud compression, Deep learning, Learning systems,
Semantics, Point cloud completion, Geometry-aware deep learning, Projection loss
BibRef
Cai, Y.J.[Ying-Jie],
Lin, K.Y.[Kwan-Yee],
Zhang, C.[Chao],
Wang, Q.[Qiang],
Wang, X.G.[Xiao-Gang],
Li, H.S.[Hong-Sheng],
Learning a Structured Latent Space for Unsupervised Point Cloud
Completion,
CVPR22(5533-5543)
IEEE DOI
2210
Point cloud compression, Geometry, Codes, Shape, Fuses, Encoding,
3D from multi-view and sensors, Self- semi- meta- unsupervised learning
BibRef
Wang, Y.[Yida],
Tan, D.J.[David Joseph],
Navab, N.[Nassir],
Tombari, F.[Federico],
Learning Local Displacements for Point Cloud Completion,
CVPR22(1558-1567)
IEEE DOI
2210
Point cloud compression, Shape, Semantics,
Feature extraction, Transformers, 3D from single images,
grouping and shape analysis
BibRef
Tang, J.[Junshu],
Gong, Z.J.[Zhi-Jun],
Yi, R.[Ran],
Xie, Y.[Yuan],
Ma, L.Z.[Li-Zhuang],
LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned
Keypoints,
CVPR22(1716-1725)
IEEE DOI
2210
Point cloud compression, Location awareness, Shape, Detectors,
Predictive models, Skeleton, RGBD sensors and analytics,
3D from multi-view and sensors
BibRef
Wang, H.C.[Han-Chen],
Liu, Q.[Qi],
Yue, X.Y.[Xiang-Yu],
Lasenby, J.[Joan],
Kusner, M.J.[Matt J.],
Unsupervised Point Cloud Pre-training via Occlusion Completion,
ICCV21(9762-9772)
IEEE DOI
2203
Point cloud compression, Codes, Semantics, Cameras, Task analysis,
Representation learning, Vision for robotics and autonomous vehicles
BibRef
Gong, B.C.[Bing-Chen],
Nie, Y.[Yinyu],
Lin, Y.Q.[Yi-Qun],
Han, X.G.[Xiao-Guang],
Yu, Y.Z.[Yi-Zhou],
ME-PCN: Point Completion Conditioned on Mask Emptiness,
ICCV21(12468-12477)
IEEE DOI
2203
Point cloud compression, Measurement, Geometry, Shape,
Network topology, Neural networks,
Vision for robotics and autonomous vehicles
BibRef
Deng, X.B.[Xiao-Bao],
Hu, X.L.[Xiao-Lin],
Buris, N.E.[Nicholas E.],
An, P.[Ping],
Chen, Y.L.[Yi-Lei],
3D Grid Transformation Network for Point Cloud Completion,
ICIP21(3642-3646)
IEEE DOI
2201
Deep learning, Surface reconstruction, Solid modeling, Shape,
Network architecture, Visual effects, point cloud, 3D deep learning completion
BibRef
Kumari, S.[Seema],
Raman, S.[Shanmuganathan],
3d Point Cloud Completion Using Stacked Auto-Encoder for Structure
Preservation,
ICIP21(3123-3127)
IEEE DOI
2201
Image coding, Shape, Redundancy, Decoding, Stacked auto-encoder,
Point cloud completion, MLP, Chamfer distance, Structure preservation
BibRef
Wen, X.[Xin],
Han, Z.Z.[Zhi-Zhong],
Cao, Y.P.[Yan-Pei],
Wan, P.F.[Peng-Fei],
Zheng, W.[Wen],
Liu, Y.S.[Yu-Shen],
Cycle4Completion: Unpaired Point Cloud Completion using Cycle
Transformation with Missing Region Coding,
CVPR21(13075-13084)
IEEE DOI
2111
Geometry, Codes, Shape, Computational modeling, Transforms
BibRef
Zhang, X.C.[Xuan-Cheng],
Feng, Y.T.[Yu-Tong],
Li, S.Q.[Si-Qi],
Zou, C.Q.[Chang-Qing],
Wan, H.[Hai],
Zhao, X.B.[Xi-Bin],
Guo, Y.D.[Yan-Dong],
Gao, Y.[Yue],
View-Guided Point Cloud Completion,
CVPR21(15885-15894)
IEEE DOI
2111
Shape, Sensor fusion,
Task analysis, Image reconstruction, Periodic structures
BibRef
Son, H.[Hyeontae],
Kim, Y.M.[Young Min],
SAUM: Symmetry-aware Upsampling Module for Consistent Point Cloud
Completion,
ACCV20(I:158-174).
Springer DOI
2103
BibRef
Pan, L.,
Ladický, L.,
Pollefeys, M.,
Compression and Completion of Animated Point Clouds using Topological
Properties of the Manifold,
3DV20(734-742)
IEEE DOI
2102
Strain, Data models,
Computational modeling, Shape, Animation, Image reconstruction
BibRef
Wang, Y.[Yida],
Tan, D.J.[David Joseph],
Navab, N.[Nassir],
Tombari, F.[Federico],
Softpoolnet: Shape Descriptor for Point Cloud Completion and
Classification,
ECCV20(III:70-85).
Springer DOI
2012
BibRef
Zhang, W.X.[Wen-Xiao],
Yan, Q.A.[Qing-An],
Xiao, C.X.[Chun-Xia],
Detail Preserved Point Cloud Completion via Separated Feature
Aggregation,
ECCV20(XXV:512-528).
Springer DOI
2011
BibRef
Xie, H.Z.[Hao-Zhe],
Yao, H.X.[Hong-Xun],
Zhou, S.C.[Shang-Chen],
Mao, J.G.[Jia-Geng],
Zhang, S.P.[Sheng-Ping],
Sun, W.X.[Wen-Xiu],
Grnet: Gridding Residual Network for Dense Point Cloud Completion,
ECCV20(IX:365-381).
Springer DOI
2011
BibRef
Huang, Z.T.[Zi-Tian],
Yu, Y.K.[Yi-Kuan],
Xu, J.W.[Jia-Wen],
Ni, F.[Feng],
Le, X.Y.[Xin-Yi],
PF-Net: Point Fractal Network for 3D Point Cloud Completion,
CVPR20(7659-7667)
IEEE DOI
2008
Feature extraction, Decoding, Shape, Task analysis, Semantics, Distortion
BibRef
Zelek, J.,
Lunscher, N.,
Point Cloud Completion of Foot Shape from a Single Depth Map for Fit
Matching Using Deep Learning View Synthesis,
CVFashion17(2300-2305)
IEEE DOI
1802
Cameras, Foot, Footwear, Image reconstruction, Shape,
BibRef
Gurumurthy, S.,
Agrawal, S.,
High Fidelity Semantic Shape Completion for Point Clouds Using Latent
Optimization,
WACV19(1099-1108)
IEEE DOI
1904
content-based retrieval, image reconstruction,
image representation, image retrieval, Generators
BibRef
Huang, Y.L.[Yung-Lin],
Hsu, T.W.[Tang-Wei],
Chien, S.Y.[Shao-Yi],
Edge-aware depth completion for point-cloud 3D scene visualization on
an RGB-D camera,
VCIP14(422-425)
IEEE DOI
1504
image colour analysis
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Denoising, Restoration, Range Images, Range, Depth Data .