11.14.3.9.12 Depth Completion, Point Cloud Completion

Chapter Contents (Back)
Depth Completion. Point Cloud Completion.

Breckon, T.P.[Toby P.], Fisher, R.B.[Robert B.],
Amodal volume completion: 3D visual completion,
CVIU(99), No. 3, September 2005, pp. 499-526.
Elsevier DOI Surface Completion. 0508
BibRef
And:
Non-parametric 3D surface completion,
3DIM05(573-580).
IEEE DOI 0508
BibRef
Earlier:
Environment Authentication Through 3D Structural Analysis,
ICIAR04(I: 680-687).
Springer DOI 0409
Complete partially visible objects. BibRef

Breckon, T.P.[Toby P.], Fisher, R.B.[Robert B.],
Three-Dimensional Surface Relief Completion Via Nonparametric Techniques,
PAMI(30), No. 12, December 2008, pp. 2249-2255.
IEEE DOI 0811
Surface Completion. Automated hole filling of 3D data using underlying models and known surfaces. BibRef

Breckon, T.P.[Toby P.], Fisher, R.B.[Robert B.],
A hierarchical extension to 3D non-parametric surface relief completion,
PR(45), No. 1, January 2012, pp. 172-185.
Elsevier DOI 1109
3D relief completion; Amodal completion; Volume completion; Visual completion; Perceptual completion; Visual propagation; 3D surface completion BibRef

Yang, L.[Long], 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.
WWW Link. 1702
BibRef

Zuo, Y., Wu, Q., Zhang, J., An, P.,
Explicit Edge Inconsistency Evaluation Model for Color-Guided Depth Map Enhancement,
CirSysVideo(28), No. 2, February 2018, pp. 439-453.
IEEE DOI 1802
BibRef
Earlier: A1, A2, A4, A3:
Explicit measurement on depth-color inconsistency for depth completion,
ICIP16(4037-4041)
IEEE DOI 1610
Color, Image color analysis, Image edge detection, Image resolution, Noise measurement, Robustness, Sensors, depth map superresolution (SR). Color BibRef

Zuo, Y., Wu, Q., Zhang, J., An, P.,
Minimum Spanning Forest With Embedded Edge Inconsistency Measurement Model for Guided Depth Map Enhancement,
IP(27), No. 8, August 2018, pp. 4145-4159.
IEEE DOI 1806
Color, Computational modeling, Image color analysis, Image edge detection, Optimization, Sensors, Vegetation, depth map enhancement BibRef

Liu, H.M.[Hong-Min], Tang, X.C.[Xin-Cheng], Shen, S.H.[Shu-Han],
Depth-map completion for large indoor scene reconstruction,
PR(99), 2020, pp. 107112.
Elsevier DOI 1912
Depth completion, MVS, 3D Reconstruction, Point cloud, BibRef

Huang, Z., Fan, J., Cheng, S., Yi, S., Wang, X., Li, H.,
HMS-Net: Hierarchical Multi-Scale Sparsity-Invariant Network for Sparse Depth Completion,
IP(29), 2020, pp. 3429-3441.
IEEE DOI 2002
Depth completion, convolutional neural network, sparsity-invariant operations BibRef

Stutz, D.[David], Geiger, A.[Andreas],
Learning 3D Shape Completion Under Weak Supervision,
IJCV(128), No. 5, May 2020, pp. 1162-1181.
Springer DOI 2005
BibRef
Learning 3D Shape Completion from Laser Scan Data with Weak Supervision,
CVPR18(1955-1964)
IEEE DOI 1812
Shape, Maximum likelihood decoding, Optimization, Neural networks BibRef

Ma, W.[Wei], Zheng, M.[Mana], Ma, W.G.[Wen-Guang], Xu, S.B.[Shi-Biao], Zhang, X.P.[Xiao-Peng],
Learning Across Views for Stereo Image Completion,
IET-CV(14), No. 7, October 2020, pp. 482-492.
DOI Link 2010
BibRef

Tang, J.[Jie], Tian, F.P.[Fei-Peng], Feng, W.[Wei], Li, J.[Jian], Tan, P.[Ping],
Learning Guided Convolutional Network for Depth Completion,
IP(30), 2021, pp. 1116-1129.
IEEE DOI 2012
Convolution, Kernel, Laser radar, Graphics processing units, Feature extraction, Task analysis, Sensors, Depth completion, convolutional neural networks BibRef

Zhang, C.S.[Chun-Sen], Shi, S.[Shu], Ge, Y.W.[Ying-Wei], Liu, H.H.[Heng-Heng], Cui, W.H.[Wei-Hong],
DEM Void Filling Based on Context Attention Generation Model,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Liu, L., Liao, Y., Wang, Y., Geiger, A., Liu, Y.,
Learning Steering Kernels for Guided Depth Completion,
IP(30), 2021, pp. 2850-2861.
IEEE DOI 2102
Kernel, Task analysis, Shape, Interpolation, Estimation, Neural networks, Standards, Depth completion, depth interpolation, steering kernels 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

Zhao, S.S.[Shan-Shan], Gong, M.M.[Ming-Ming], Fu, H.[Huan], Tao, D.C.[Da-Cheng],
Adaptive Context-Aware Multi-Modal Network for Depth Completion,
IP(30), 2021, pp. 5264-5276.
IEEE DOI 2106
Feature extraction, Convolution, Adaptation models, Laser radar, Context modeling, Logic gates, graph propagation BibRef

Zhao, T.[Tao], Pan, S.G.[Shu-Guo], Zhang, H.[Hui], Sun, Y.C.[Ying-Chun],
Dilated U-Block for Lightweight Indoor Depth Completion With Sobel Edge,
SPLetters(28), 2021, pp. 1615-1619.
IEEE DOI 2108
Convolution, Feature extraction, Training, Task analysis, Predictive models, Complexity theory, Decoding, Depth completion, lightweight model BibRef

Tian, F.Z.[Fang-Zheng], Gao, Y.B.[Yong-Bin], Fang, Z.J.[Zhi-Jun], Gu, J.[Jia], Yang, S.Q.[Shu-Qun],
3D reconstruction with auto-selected keyframes based on depth completion correction and pose fusion,
JVCIR(79), 2021, pp. 103199.
Elsevier DOI 2109
3D reconstruction, Depth completion and correction, Pose fusion estimation, Auto-selected keyframes BibRef

Liu, Z.Y.[Zi-Yang], Zhang, L.[Lei], Chen, W.H.[Wei-Hai], Wu, X.M.[Xing-Ming], Li, Z.G.[Zheng-Guo],
S&CNet: A lightweight network for fast and accurate depth completion,
JVCIR(79), 2021, pp. 103220.
Elsevier DOI 2109
Dense depth completion, Lightweight network, Coarse-to-fine, Attention module BibRef

Wang, F.[Fei], Liu, Z.D.[Zhen-Dong], Zhu, H.C.[Hong-Chun], Wu, P.D.[Peng-Da],
A Parallel Method for Open Hole Filling in Large-Scale 3D Automatic Modeling Based on Oblique Photography,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Wang, F.[Fei], Zhu, H.C.[Hong-Chun], Cai, H.L.[Hao-Lin], Qu, W.[Wenhu], Zhang, S.Z.[Shuai-Zhe], Liu, Z.D.[Zhen-Dong],
A Parallel Method for Texture Reconstruction in Large-Scale 3D Automatic Modeling Based on Oblique Photography,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Long, Y.Q.[Yang-Qi], Yu, H.M.[Hui-Min], Liu, B.Y.[Bi-Yang],
Depth completion towards different sensor configurations via relative depth map estimation and scale recovery,
JVCIR(80), 2021, pp. 103272.
Elsevier DOI 2110
Depth estimation, Depth completion, Relative depth, Scale recovery, Geometry structure BibRef

Gofer, E.[Eyal], Praisler, S.[Shachar], Gilboa, G.[Guy],
Adaptive LiDAR Sampling and Depth Completion Using Ensemble Variance,
IP(30), 2021, pp. 8900-8912.
IEEE DOI 2111
Laser radar, Heuristic algorithms, Estimation, Prediction algorithms, Image reconstruction, Noise measurement, probability matching BibRef

Wu, W.C.[Wei-Chao], Xie, Z.[Zhong], Xu, Y.Y.[Yong-Yang], Zeng, Z.[Ziyin], Wan, J.[Jie],
Point Projection Network: A Multi-View-Based Point Completion Network with Encoder-Decoder Architecture,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhou, G.Q.[Guo-Qing], Song, B.[Bo], Liang, P.[Peng], Xu, J.S.[Jia-Sheng], Yue, T.[Tao],
Voids Filling of DEM with Multiattention Generative Adversarial Network Model,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
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

Roldão, L.[Luis], de Charette, R.[Raoul], Verroust-Blondet, A.[Anne],
3D Semantic Scene Completion: A Survey,
IJCV(130), No. 8, August 2022, pp. 1978-2005.
Springer DOI 2207
BibRef
Earlier:
LMSCNet: Lightweight Multiscale 3D Semantic Completion,
3DV20(111-119)
IEEE DOI 2102
Semantics, Convolutional codes, Task analysis, Laser radar, Sensors, Robotics 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

Hwang, S.[Sangwon], Lee, J.[Junhyeop], Kim, W.J.[Woo Jin], Woo, S.[Sungmin], Lee, K.[Kyungjae], Lee, S.Y.[Sang-Youn],
LiDAR Depth Completion Using Color-Embedded Information via Knowledge Distillation,
ITS(23), No. 9, September 2022, pp. 14482-14496.
IEEE DOI 2209
Laser radar, Color, Image edge detection, Training, Convolutional neural networks, Feature extraction, Convolution, deep convolutional neural network 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

Wei, M.[Ming], Zhu, M.[Ming], Zhang, Y.[Yaoyuan], Sun, J.Q.[Jia-Qi], Wang, J.[Jiarong],
An Efficient Information-Reinforced Lidar Deep Completion Network without RGB Guided,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
Fill in due to sparsity. 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

Liu, R.[Ruyu], Zhang, G.[Guodao], Wang, J.M.[Jiang-Ming], Zhao, S.W.[Shu-Wen],
Cross-Modal 360° Depth Completion and Reconstruction for Large-Scale Indoor Environment,
ITS(23), No. 12, December 2022, pp. 25180-25190.
IEEE DOI 2212
Cameras, Image reconstruction, Task analysis, Simultaneous localization and mapping, Kernel, Estimation, dense reconstruction 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

Zhang, Q.[Quan], Chen, X.Y.[Xiao-Yu], Wang, X.G.[Xing-Guo], Han, J.[Jing], Zhang, Y.[Yi], Yue, J.[Jiang],
Self-Supervised Depth Completion Based on Multi-Modal Spatio-Temporal Consistency,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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

Lopez-Rodriguez, A.[Adrian], Busam, B.[Benjamin], Mikolajczyk, K.[Krystian],
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data,
IJCV(131), No. 3, March 2023, pp. 796-812.
Springer DOI 2302
BibRef
Earlier: ACCV20(I:330-348).
Springer DOI 2103
BibRef

Lopez-Rodriguez, A.[Adrian], Mikolajczyk, K.[Krystian],
DESC: Domain Adaptation for Depth Estimation via Semantic Consistency,
IJCV(131), No. 3, March 2023, pp. 752-771.
Springer DOI 2302
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

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

Xi, L.[Long], Tang, W.[Wen], Wan, T.[TaoRuan],
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

Hu, J.J.[Jun-Jie], Bao, C.Y.[Chen-Yu], Ozay, M.[Mete], Fan, C.Y.[Chen-You], Gao, Q.[Qing], Liu, H.H.[Hong-Hai], Lam, T.L.[Tin Lun],
Deep Depth Completion From Extremely Sparse Data: A Survey,
PAMI(45), No. 7, July 2023, pp. 8244-8264.
IEEE DOI 2306
Taxonomy, Task analysis, Feature extraction, Laser radar, Robot sensing systems, Deep learning, Depth Completion, spatial propagation network 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

Xu, M.Y.[Ming-Ye], Zhou, Z.P.[Zhi-Peng], Xu, H.B.[Hong-Bin], Qiao, Y.[Yu], Wang, Y.[Yali],
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning,
MultMed(26), 2024, pp. 8799-8810.
IEEE DOI 2408
Point cloud compression, Semantics, Feature extraction, Task analysis, Vectors, Geometry, 3D point cloud analysis, unsupervised learning BibRef

Qian, R.[Ren], Qiu, W.F.[Wen-Feng], Yang, W.[Wenbang], Li, J.H.[Jian-Hua], Wu, Y.[Yun], Feng, R.[Renyang], Wang, X.[Xinan], Zhao, Y.[Yong],
Depth Information Precise Completion-GAN: A Precisely Guided Method for Completing Ill Regions in Depth Maps,
RS(15), No. 14, 2023, pp. 3686.
DOI Link 2307
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

Pan, L.[Liang], Chen, X.Y.[Xin-Yi], Cai, Z.A.[Zhong-Ang], Zhang, J.Z.[Jun-Zhe], Zhao, H.[Haiyu], Yi, S.[Shuai], Liu, Z.W.[Zi-Wei],
Variational Relational Point Completion Network for Robust 3D Classification,
PAMI(45), No. 9, September 2023, pp. 11340-11351.
IEEE DOI 2309
BibRef
Earlier:
Variational Relational Point Completion Network,
CVPR21(8520-8529)
IEEE DOI 2111
Training, Solid modeling, Shape, Probabilistic logic, Skeleton, Robustness BibRef

Zhang, Z.X.[Zhao-Xuan], Han, X.G.[Xiao-Guang], Dong, B.[Bo], Li, T.[Tong], Yin, B.C.[Bao-Cai], Yang, X.[Xin],
Point Cloud Scene Completion With Joint Color and Semantic Estimation From Single RGB-D Image,
PAMI(45), No. 9, September 2023, pp. 11079-11095.
IEEE DOI 2309
BibRef

Han, X.G.[Xiao-Guang], Zhang, Z.X.[Zhao-Xuan], Du, D.[Dong], Yang, M.D.[Ming-Dai], Yu, J.M.[Jing-Ming], Pan, P.[Pan], Yang, X.[Xin], Liu, L.G.[Li-Gang], Xiong, Z.X.[Zi-Xiang], Cui, S.G.[Shu-Guang],
Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image,
CVPR19(234-243).
IEEE DOI 2002
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

Xiong, M.[Mingkang], Zhang, Z.H.[Zheng-Hong], Liu, J.Y.[Ji-Yuan], Zhang, T.[Tao], Xiong, H.L.[Hui-Lin],
Self-supervised depth completion with multi-view geometric constraints,
IET-IPR(17), No. 11, 2023, pp. 3095-3105.
DOI Link 2310
sensor fusion, unsupervised learning BibRef

Chen, G.C.[Guan-Cheng], Lin, J.L.[Jun-Li], Qin, H.B.[Hua-Biao],
UAMD-Net: A Unified Adaptive Multimodal Neural Network for Dense Depth Completion,
CirSysVideo(33), No. 10, October 2023, pp. 5406-5419.
IEEE DOI 2310
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

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], 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.[Yaoyuan], 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

Li, J.[Jie], Song, Q.[Qi], Yan, X.H.[Xiao-Hu], Chen, Y.Q.[Yong-Quan], Huang, R.[Rui],
From Front to Rear: 3D Semantic Scene Completion Through Planar Convolution and Attention-Based Network,
MultMed(25), 2023, pp. 8294-8307.
IEEE DOI 2312
BibRef

Zhao, L.Q.[Lin-Qing], Wei, Y.[Yi], Li, J.X.[Jia-Xin], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
Structure-Aware Cross-Modal Transformer for Depth Completion,
IP(33), 2024, pp. 1016-1031.
IEEE DOI 2402
Three-dimensional displays, Feature extraction, Transformers, Task analysis, Image color analysis, Solid modeling, Shape, transformer BibRef

Wang, Y.F.[Yu-Fei], Mao, Y.X.[Yu-Xin], Liu, Q.[Qi], Dai, Y.C.[Yu-Chao],
Decomposed Guided Dynamic Filters for Efficient RGB-Guided Depth Completion,
CirSysVideo(34), No. 2, February 2024, pp. 1186-1198.
IEEE DOI 2402
Convolution, Information filters, Task analysis, Adaptation models, Standards, Computational modeling, Costs, Depth completion, feature fusion BibRef

Chen, S.L.[Sheng-Lun], Ye, X.C.[Xin-Chen], Zhang, H.[Hong], Li, H.J.[Hao-Jie], Wang, Z.H.[Zhi-Hui],
CustomDepth: Customizing point-wise depth categories for depth completion,
PRL(179), 2024, pp. 172-177.
Elsevier DOI 2403
Depth completion, Depth subdivision, Binary classification, Image subdivision BibRef

Li, T.[Tao], Dong, X.[Xiucheng], Lin, J.[Jie], Peng, Y.H.[Yong-Hong],
A transformer-CNN parallel network for image guided depth completion,
PR(150), 2024, pp. 110305.
Elsevier DOI 2403
Depth completion, Convolutional neural network, Transformer, Token correlation, Conditional random field BibRef

An, P.[Pei], Zhu, D.[Di], Quan, S.[Siwen], Ding, J.F.[Jun-Feng], Ma, J.[Jie], Yang, Y.[You], Liu, Q.[Qiong],
ESC-Net: Alleviating Triple Sparsity on 3D LiDAR Point Clouds for Extreme Sparse Scene Completion,
MultMed(26), 2024, pp. 6799-6810.
IEEE DOI 2404
Task analysis, Laser radar, Point cloud compression, Laser beams, Mobile robots, Decoding, multi-task learning BibRef

Zhao, L.Q.[Lin-Qing], Zheng, W.Z.[Wen-Zhao], Duan, Y.[Yueqi], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
SPTR: Structure-Preserving Transformer for Unsupervised Indoor Depth Completion,
CirSysVideo(34), No. 4, April 2024, pp. 2439-2452.
IEEE DOI 2404
Estimation, Image reconstruction, Task analysis, Training, Encoding, Transformers, Depth completion, structure learning BibRef

Lin, Y.K.[Yuan-Kai], Yang, H.[Hua], Cheng, T.[Tao], Zhou, W.D.[Wen-Ding], Yin, Z.P.[Zhou-Ping],
DySPN: Learning Dynamic Affinity for Image-Guided Depth Completion,
CirSysVideo(34), No. 6, June 2024, pp. 4596-4609.
IEEE DOI Code:
WWW Link. 2406
Task analysis, Kernel, Filtering, Sparse matrices, Image edge detection, Mathematical models, Depth completion, multimodal fusion BibRef

Zhang, X.[Xuanmeng], Zheng, Z.[Zhedong], Jiang, M.[Minyue], Ye, X.Q.[Xiao-Qing],
Self-ensembling depth completion via density-aware consistency,
PR(154), 2024, pp. 110618.
Elsevier DOI 2406
Depth completion, Semi-supervised learning, Density-aware consistency, Uncertainty estimation BibRef

Li, B.[Bocen], Wang, Y.F.[Yi-Fan], Wang, L.J.[Li-Jun], Lu, H.C.[Hu-Chuan],
CSRNet: Focusing on critical points for depth completion,
IVC(147), 2024, pp. 105051.
Elsevier DOI 2406
Depth completion, Mining L1 loss, Minimum error curve, Standard-point-enhancing learning paradigm BibRef

Xiao, H.H.[Hai-Hong], Xu, H.B.[Hong-Bin], Kang, W.X.[Wen-Xiong], Li, Y.Q.[Yu-Qiong],
Instance-Aware Monocular 3D Semantic Scene Completion,
ITS(25), No. 7, July 2024, pp. 6543-6554.
IEEE DOI 2407
Semantics, Task analysis, Shape, Geometry, Feature extraction, Laser radar, 3D scene understanding, semantic scene completion, 3D vision BibRef

Liang, L.[Li], Akhtar, N.[Naveed], Vice, J.[Jordan], Mian, A.[Ajmal],
Voxel- and Bird's-Eye-View-Based Semantic Scene Completion for LiDAR Point Clouds,
RS(16), No. 13, 2024, pp. 2266.
DOI Link 2407
BibRef

Chen, S.L.[Sheng-Lun], Zhang, H.[Hong], Ma, X.Z.[Xin-Zhu], Wang, Z.H.[Zhi-Hui], Li, H.J.[Hao-Jie],
Learning Pixel-Wise Continuous Depth Representation via Clustering for Depth Completion,
CirSysVideo(34), No. 7, July 2024, pp. 6303-6317.
IEEE DOI 2407
Transformers, Feature extraction, Logistics, Estimation, Task analysis, Kernel, Depth completion, offset estimation BibRef

Hayler, A.[Adrian], Wimbauer, F.[Felix], Muhle, D.[Dominik], Rupprecht, C.[Christian], Cremers, D.[Daniel],
S4C: Self-Supervised Semantic Scene Completion With Neural Fields,
3DV24(409-420)
IEEE DOI 2408
Training, Image segmentation, Navigation, Semantics, Rendering (computer graphics), Sensors, machine learning, kitti-360 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


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

Bartolomei, L.[Luca], Poggi, M.[Matteo], Conti, A.[Andrea], Tosi, F.[Fabio], Mattoccia, S.[Stefano],
Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization,
3DV24(1360-1370)
IEEE DOI 2408
Training, Task analysis, Faces, depth completion, 3d reconstruction, stereo matching, generalization BibRef

Zhang, M.[Mohang], Li, Y.S.[Yu-Shi], Chen, R.[Rong], Pan, Y.S.[Yu-Shan], Wang, J.[Jia], Wang, Y.Z.[Yun-Zhe], Xiang, R.[Rong],
WalkFormer: Point Cloud Completion via Guided Walks,
WACV24(3281-3290)
IEEE DOI 2404
Point cloud compression, Deformation, Shape, Computational modeling, Predictive models, Transformers, 3D computer vision BibRef

Yu, Z.[Zhu], Sheng, Z.[Zehua], Zhou, Z.L.[Zi-Li], Luo, L.[Lun], Cao, S.Y.[Si-Yuan], Gu, H.[Hong], Zhang, H.Q.[Hua-Qi], Shen, H.L.[Hui-Liang],
Aggregating Feature Point Cloud for Depth Completion,
ICCV23(8698-8709)
IEEE DOI 2401
BibRef

Chen, D.[Dongyue], Huang, T.X.[Ting-Xuan], Song, Z.M.[Zhi-Min], Deng, S.Z.[Shi-Zhuo], Jia, T.[Tong],
AGG-Net: Attention Guided Gated-convolutional Network for Depth Image Completion,
ICCV23(8819-8828)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wang, Y.F.[Yu-Fei], Li, B.[Bo], Zhang, G.[Ge], Liu, Q.[Qi], Gao, T.[Tao], Dai, Y.C.[Yu-Chao],
LRRU: Long-short Range Recurrent Updating Networks for Depth Completion,
ICCV23(9388-9398)
IEEE DOI Code:
WWW Link. 2401
BibRef

Yao, J.W.[Jia-Wei], Li, C.[Chuming], Sun, K.Q.[Ke-Qiang], Cai, Y.J.[Ying-Jie], Li, H.[Hao], Ouyang, W.L.[Wan-Li], Li, H.S.[Hong-Sheng],
NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space,
ICCV23(9421-9431)
IEEE DOI Code:
WWW Link. 2401
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.[Ruikai], 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.[Songlin], 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

Li, H.A.[Hao-Ang], Dong, J.[Jinhu], Wen, B.H.[Bing-Hui], Gao, M.[Ming], Huang, T.Y.[Tian-Yu], Liu, Y.H.[Yun-Hui], Cremers, D.[Daniel],
DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates,
ICCV23(21837-21847)
IEEE DOI 2401
BibRef

Dong, H.T.[Hao-Tian], Ma, E.[Enhui], Wang, L.[Lubo], Wang, M.[Miaohui], Xie, W.[Wuyuan], Guo, Q.[Qing], Li, P.[Ping], Liang, L.[Lingyu], Yang, K.[Kairui], Lin, D.[Di],
CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion,
ICCV23(8840-8849)
IEEE DOI Code:
WWW Link. 2401
BibRef

Ramachandran, A.[Akshat], Dhiman, A.[Ankit], Vandrotti, B.S.[Basavaraja Shanthappa], Kim, J.Y.[Joo-Young],
NTrans-Net: A Multi-Scale Neutrosophic-Uncertainty Guided Transformer Network for Indoor Depth Completion,
ICIP23(905-909)
IEEE DOI 2312
BibRef

Fu, R.C.[Ruo-Chong], Wu, H.[Hang], Hao, M.X.[Meng-Xiang], Miao, Y.[Yubin],
Semantic Scene Completion with Point Cloud Representation and Transformer-based feature fusion,
ICIP23(3369-3373)
IEEE DOI Code:
WWW Link. 2312
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

Ran, W.H.[Wei-Hang], Yuan, W.[Wei], Shibasaki, R.[Ryosuke],
Few-Shot Depth Completion Using Denoising Diffusion Probabilistic Model,
PCV23(6559-6567)
IEEE DOI 2309
BibRef

Krishna, S.[Sriram], Vandrotti, B.S.[Basavaraja Shanthappa],
DeepSmooth: Efficient and Smooth Depth Completion,
VOCVALC23(3358-3367)
IEEE DOI 2309
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

Wu, Y.S.[Yu-Shuang], Yan, Z.Z.[Zi-Zheng], Chen, C.[Ce], Wei, L.[Lai], Li, X.[Xiao], Li, G.B.[Guan-Bin], Li, Y.H.[Yi-Hao], Cui, S.G.[Shu-Guang], Han, X.G.[Xiao-Guang],
SCoDA: Domain Adaptive Shape Completion for Real Scans,
CVPR23(17630-17641)
IEEE DOI 2309
BibRef

Xia, Z.Y.[Zhao-Yang], Liu, Y.[Youquan], Li, X.[Xin], Zhu, X.G.[Xin-Ge], Ma, Y.X.[Yue-Xin], Li, Y.K.[Yi-Kang], Hou, Y.N.[Yue-Nan], Qiao, Y.[Yu],
SCPNet: Semantic Scene Completion on Point Cloud,
CVPR23(17642-17651)
IEEE DOI 2309
BibRef

Zhang, Y.[Youmin], Guo, X.[Xianda], Poggi, M.[Matteo], Zhu, Z.[Zheng], Huang, G.[Guan], Mattoccia, S.[Stefano],
CompletionFormer: Depth Completion with Convolutions and Vision Transformers,
CVPR23(18527-18536)
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.[Yanwen],
Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion,
CVPR23(13560-13569)
IEEE DOI 2309
BibRef

Wang, F.Y.[Feng-Yun], Zhang, D.[Dong], Zhang, H.W.[Han-Wang], Tang, J.H.[Jin-Hui], Sun, Q.[Qianru],
Semantic Scene Completion with Cleaner Self,
CVPR23(867-877)
IEEE DOI 2309
BibRef

Xiong, Y.W.[Yu-Wen], Ma, W.C.[Wei-Chiu], Wang, J.K.[Jing-Kang], Urtasun, R.[Raquel],
Learning Compact Representations for LiDAR Completion and Generation,
CVPR23(1074-1083)
IEEE DOI 2309
BibRef

Cheng, Y.C.[Yen-Chi], Lee, H.Y.[Hsin-Ying], Tulyakov, S.[Sergey], Schwing, A.[Alexander], Gui, L.Y.[Liang-Yan],
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation,
CVPR23(4456-4465)
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

Bokhovkin, A.[Aleksei], Dai, A.[Angela],
Neural Part Priors: Learning to Optimize Part-Based Object Completion in RGB-D Scans,
CVPR23(9032-9042)
IEEE DOI 2309
BibRef

Li, Y.M.[Yi-Ming], Yu, Z.[Zhiding], Choy, C.[Christopher], Xiao, C.W.[Chao-Wei], Alvarez, J.M.[Jose M.], Fidler, S.[Sanja], Feng, C.[Chen], Anandkumar, A.[Anima],
VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion,
CVPR23(9087-9098)
IEEE DOI 2309
BibRef

Wu, L.[Lemeng], Wang, D.[Dilin], Gong, C.Y.[Cheng-Yue], Liu, X.C.[Xing-Chao], Xiong, Y.[Yunyang], Ranjan, R.[Rakesh], Krishnamoorthi, R.[Raghuraman], Chandra, V.[Vikas], Liu, Q.[Qiang],
Fast Point Cloud Generation with Straight Flows,
CVPR23(9445-9454)
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

Hong, S.[Sangmin], Yavartanoo, M.[Mohsen], Neshatavar, R.[Reyhaneh], Lee, K.M.[Kyoung Mu],
ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion,
CVPR23(9435-9444)
IEEE DOI 2309
BibRef

Zhu, Q.P.[Qing-Peng], Sun, W.X.[Wen-Xiu], Dai, Y.[Yuekun], Li, C.Y.[Chong-Yi], Zhou, S.C.[Shang-Chen], Feng, R.C.[Rui-Cheng], Sun, Q.H.[Qian-Hui], Loy, C.C.[Chen Change], Gu, J.[Jinwei], Yu, Y.[Yi], Huang, Y.[Yangke], Zhang, K.[Kang], Chen, M.[Meiya], Wang, Y.[Yu], Li, Y.C.[Yong-Chao], Jiang, H.[Hao], Muduli, A.K.[Amrit Kumar], Kumar, V.[Vikash], Swami, K.[Kunal], Bajpai, P.K.[Pankaj Kumar], Ma, Y.C.[Yun-Chao], Xiao, J.J.[Jia-Jun], Ling, Z.[Zhi],
MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results,
MIPI23(2864-2870)
IEEE DOI 2309
BibRef

Lee, Y.J.[Yong-Jin], Park, S.[Seokjun], Kang, B.[Beomgu], Park, H.W.[Hyun-Wook],
Multi-modal Characteristic Guided Depth Completion Network,
ACCV22(III:593-607).
Springer DOI 2307
BibRef

Achaibou, A.[Amina], Sanmartín-Vich, N.[Nofre], Pla, F.[Filiberto], Calpe, J.[Javier],
Guided Depth Completion Using Active Infrared Images in Time of Flight Systems,
IbPRIA23(323-335).
Springer DOI 2307
BibRef

Hou, D.[Dewang], Du, Y.Y.[Yuan-Yuan], Zhao, K.[Kai], Zhao, Y.[Yang],
Learning an Efficient Multimodal Depth Completion Model,
MIPI22(161-174).
Springer DOI 2304
BibRef

Yue, H.[Haosong], Liu, Q.[Qiang], Liu, Z.[Zhong], Zhang, J.[Jing], Wu, X.M.[Xing-Ming],
Depth Completion Using Laplacian Pyramid-based Depth Residuals,
MIPI22(192-207).
Springer DOI 2304
BibRef

Sun, W.X.[Wen-Xiu], Zhu, Q.P.[Qing-Peng], Li, C.Y.[Chong-Yi], Feng, R.C.[Rui-Cheng], Zhou, S.C.[Shang-Chen], Jiang, J.[Jun], Yang, Q.Y.[Qing-Yu], Loy, C.C.[Chen Change], Gu, J.[Jinwei], Hou, D.[Dewang], Zhao, K.[Kai], Lu, L.Y.[Li-Ying], Li, Y.[Yu], Lin, H.[Huaijia], Wu, R.Z.[Rui-Zheng], Lu, J.B.[Jiang-Bo], Jia, J.Y.[Jia-Ya], Liu, Q.[Qiang], Yue, H.S.[Hao-Song], Cao, D.Y.[Dan-Yang], Yu, L.[Lehang], Quan, J.X.[Jia-Xuan], Liang, J.X.[Ji-Xiang], Wang, Y.F.[Yu-Fei], Dai, Y.C.[Yu-Chao], Yang, P.[Peng], Yan, H.[Hu], Liu, H.[Houbiao], Su, S.Y.[Si-Yuan], Li, X.[Xuanhe], Ren, R.[Rui], Liu, Y.L.[Yun-Long], Zhu, Y.F.[Yu-Fan], Lao, D.[Dong], Wong, A.[Alex], Chang, K.[Katie],
MIPI 2022 Challenge on RGB+TOF Depth Completion: Dataset and Report,
MIPI22(3-20).
Springer DOI 2304
BibRef

Taguchi, K.[Kensuke], Morita, S.[Shogo], Hayashi, Y.[Yusuke], Imaeda, W.[Wataru], Fujiyoshi, H.[Hironobu],
Uncertainty-Aware Interactive LiDAR Sampling for Deep Depth Completion,
WACV23(3027-3035)
IEEE DOI 2302
Adaptation models, Laser radar, Uncertainty, Computational modeling, Estimation, Sampling methods, 3D computer vision BibRef

Ramesh, A.N.[Avinash Nittur], Giovanneschi, F.[Fabio], González-Huici, M.A.[María A.],
SIUNet: Sparsity Invariant U-Net for Edge-Aware Depth Completion,
WACV23(5807-5816)
IEEE DOI 2302
Training, Laser radar, Image edge detection, Network architecture, Sensor systems, Task analysis, visual reasoning BibRef

Conti, A.[Andrea], Poggi, M.[Matteo], Mattoccia, S.[Stefano],
Sparsity Agnostic Depth Completion,
WACV23(5860-5869)
IEEE DOI 2302
Training, Benchmark testing, Robustness, Standards, Algorithms: 3D computer vision, Computational photography, visual reasoning BibRef

Hirner, D.[Dominik], Fraundorfer, F.[Friedrich],
FCDSN-DC: An Accurate and Lightweight Convolutional Neural Network for Stereo Estimation with Depth Completion,
ICPR22(3937-3943)
IEEE DOI 2212
Training, Codes, Convolution, Estimation, Feature extraction, Filling BibRef

Yang, S.W.[Shu-Wen], Xiao, L.[Luwei], Zhang, J.H.[Jun-Hang], Fu, Z.C.[Zhi-Chao], Ma, T.L.[Tian-Long], He, L.[Liang],
Depth Completion via A Dual-Fusion Method,
ICPR22(3686-3691)
IEEE DOI 2212
Shape, Convolution, Semantics, Image representation, Feature extraction, Data mining 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

Sun, B.[Bo], Kim, V.G.[Vladimir G.], Aigerman, N.[Noam], Huang, Q.X.[Qi-Xing], Chaudhuri, S.[Siddhartha],
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation,
ECCV22(III:503-522).
Springer DOI 2211
BibRef

Kam, J.W.[Jae-Won], Kim, J.[Jungeon], Kim, S.[Soongjin], Park, J.[Jaesik], Lee, S.Y.[Seung-Yong],
CostDCNet: Cost Volume Based Depth Completion for a Single RGB-D Image,
ECCV22(II:257-274).
Springer DOI 2211
BibRef

Liu, T.Y.[Tian Yu], Agrawal, P.[Parth], Chen, A.[Allison], Hong, B.W.[Byung-Woo], Wong, A.[Alex],
Monitored Distillation for Positive Congruent Depth Completion,
ECCV22(II:35-53).
Springer DOI 2211
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

Ghosh, K.[Krishnendu], Kar, A.[Aupendu], Bhattacharya, S.[Saumik], Sen, D.[Debashis], Biswas, P.K.[Prabir Kumar],
Multi-Latent GAN Inversion for Unsupervised 3D Shape Completion,
ICIP22(3460-3464)
IEEE DOI 2211
Point cloud compression, Geometry, Codes, Shape, Generative adversarial networks, Image reconstruction, unsupervised learning BibRef

Yan, Z.Q.[Zhi-Qiang], Li, X.[Xiang], Wang, K.[Kun], Zhang, Z.Y.[Zhen-Yu], Li, J.[Jun], Yang, J.[Jian],
Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion,
ECCV22(I:378-395).
Springer DOI 2211
BibRef

Yan, Z.Q.[Zhi-Qiang], Wang, K.[Kun], Li, X.[Xiang], Zhang, Z.Y.[Zhen-Yu], Li, J.[Jun], Yang, J.[Jian],
RigNet: Repetitive Image Guided Network for Depth Completion,
ECCV22(XXVII:214-230).
Springer DOI 2211
BibRef

Liu, X.[Xin], Shao, X.F.[Xiao-Fei], Wang, B.[Bo], Li, Y.[Yali], Wang, S.J.[Sheng-Jin],
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs,
ECCV22(XXXIII:90-107).
Springer DOI 2211
BibRef

Hsu, H.[Hao], Su, H.T.[Hung-Ting], Yeh, J.F.[Jia-Fong], Chung, C.M.[Chi-Ming], Hsu, W.H.[Winston H.],
SeqDNet: Improving Missing Value by Sequential Depth Network,
ICIP22(1826-1830)
IEEE DOI 2211
Costs, Image edge detection, Estimation, Performance gain, Filling, Object recognition, Depth Estimation, Depth Completion, Sequence Model BibRef

Yang, S.W.[Shu-Wen], Fu, Z.C.[Zhi-Chao], Wu, X.J.[Xing-Jiao], Du, X.C.[Xiang-Cheng], Ma, T.L.[Tian-Long], He, L.[Liang],
3D Clues Guided Convolution for Depth Completion,
ICIP22(2132-2136)
IEEE DOI 2211
Image color analysis, Convolution, Semantics, Color, Feature extraction, Generators, Depth completion, network architecture 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, H.W.[Hao-Wen], Wang, M.Y.[Ming-Yuan], Che, Z.P.[Zheng-Ping], Xu, Z.Y.[Zhi-Yuan], Qiao, X.Q.[Xiu-Quan], Qi, M.S.[Meng-Shi], Feng, F.F.[Fei-Fei], Tang, J.[Jian],
RGB-Depth Fusion GAN for Indoor Depth Completion,
CVPR22(6199-6208)
IEEE DOI 2210
Training, Head, Fuses, Generative adversarial networks, Sampling methods, Sensors, 3D from multi-view and sensors BibRef

Yan, X.G.[Xing-Guang], Lin, L.Q.[Li-Qiang], Mitra, N.J.[Niloy J.], Lischinski, D.[Dani], Cohen-Or, D.[Daniel], Huang, H.[Hui],
ShapeFormer: Transformer-based Shape Completion via Sparse Representation,
CVPR22(6229-6239)
IEEE DOI 2210
Point cloud compression, Limiting, Shape, Diversity methods, 3D from multi-view and sensors, Vision+graphics BibRef

Rho, K.[Kyeongha], Ha, J.[Jinsung], Kim, Y.[Youngjung],
GuideFormer: Transformers for Image Guided Depth Completion,
CVPR22(6240-6249)
IEEE DOI 2210
Visualization, Image color analysis, Stacking, Color, Transformers, Feature extraction, Robot vision BibRef

Sun, Y.Q.[Yu-Qi], Zhou, S.[Shili], Cheng, R.[Ri], Tan, W.M.[Wei-Min], Yan, B.[Bo], Fu, L.[Lang],
Learning Robust Image-Based Rendering on Sparse Scene Geometry via Depth Completion,
CVPR22(7803-7813)
IEEE DOI 2210
Geometry, Correlation, Rendering (computer graphics), Pattern recognition, Image reconstruction, Vision + graphics BibRef

Jiang, X.W.[Xiao-Wen], Cambareri, V.[Valerio], Agresti, G.[Gianluca], Ugwu, C.I.[Cynthia Ifeyinwa], Simonetto, A.[Adriano], Cardinaux, F.[Fabien], Zanuttigh, P.[Pietro],
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps,
ECV22(2686-2695)
IEEE DOI 2210
Measurement, Training, Lighting, Graphics processing units, Sensors, Task analysis BibRef

Cao, A.Q.[Anh-Quan], de Charette, R.[Raoul],
MonoScene: Monocular 3D Semantic Scene Completion,
CVPR22(3981-3991)
IEEE DOI 2210
Optical losses, Geometry, Codes, Computational modeling, Semantics, 3D from single images, 3D from multi-view and sensors, Scene analysis and understanding BibRef

Wu, X.P.[Xiao-Pei], Peng, L.[Liang], Yang, H.H.[Hong-Hui], Xie, L.[Liang], Huang, C.X.[Chen-Xi], Deng, C.Q.[Cheng-Qi], Liu, H.F.[Hai-Feng], Cai, D.[Deng],
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion,
CVPR22(5408-5417)
IEEE DOI 2210
Point cloud compression, Fuses, Image color analysis, Convolution, Design methodology, Object detection, Recognition: detection, Scene analysis and understanding BibRef

Mittal, P.[Paritosh], Cheng, Y.C.[Yen-Chi], Singh, M.[Maneesh], Tulsiani, S.[Shubham],
AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation,
CVPR22(306-315)
IEEE DOI 2210
Legged locomotion, Solid modeling, Shape, Data visualization, Machine learning, Image representation, Machine learning, Vision+language 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

Wang, X.G.[Xiao-Gang], Ang, M.H.[Marcelo H.], Lee, G.H.[Gim Hee],
Voxel-based Network for Shape Completion by Leveraging Edge Generation,
ICCV21(13169-13178)
IEEE DOI 2203
Point cloud compression, Representation learning, Deep learning, Codes, Shape, Transforms, 3D from a single image and shape-from-x, 3D from multiview and other sensors BibRef

Zhou, L.Q.[Lin-Qi], Du, Y.L.[Yi-Lun], Wu, J.J.[Jia-Jun],
3D Shape Generation and Completion through Point-Voxel Diffusion,
ICCV21(5806-5815)
IEEE DOI 2203
Point cloud compression, Solid modeling, Shape, Computational modeling, Gaussian noise, Neural generative models, 3D from a single image and shape-from-x BibRef

Wong, A.[Alex], Soatto, S.[Stefano],
Unsupervised Depth Completion with Calibrated Backprojection Layers,
ICCV21(12727-12736)
IEEE DOI 2203
Training, Point cloud compression, Laser radar, Neural networks, Streaming media, Cameras, Vision for robotics and autonomous vehicles BibRef

Huang, T.X.[Tian-Xin], Zou, H.[Hao], Cui, J.[Jinhao], Zhang, J.N.[Jiang-Ning], Yang, X.[Xue0Meng], 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.[Jinhao], 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

Lu, K.Y.[Kai-Yue], Barnes, N.M.[Nick M.], Anwar, S.[Saeed], Zheng, L.[Liang],
Depth Completion Auto-Encoder,
VAQuality22(63-73)
IEEE DOI 2202
Training, Point cloud compression, Conferences, Benchmark testing, Image reconstruction BibRef

Huang, H.J.[Hao-Jie], Yang, Z.Y.[Zi-Yi], Platt, R.[Robert],
GASCN: Graph Attention Shape Completion Network,
3DV21(1269-1278)
IEEE DOI 2201
Point cloud compression, Geometry, Shape, Computational modeling, Neural networks BibRef

Chen, K.Y.[Kun-Yao], Yin, F.[Fei], Wu, B.C.[Bai-Chuan], Du, B.[Bang], Nguyen, T.[Truong],
Mesh Completion with Virtual Scans,
ICIP21(3303-3307)
IEEE DOI 2201
Learning systems, Surface reconstruction, Pipelines, Inference algorithms, Numerical models, Surface treatment, 3D Reconstruction 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

Yu, Q.Y.[Qing-Yang], Chu, L.[Lei], Wu, Q.[Qi], Pei, L.[Ling],
Grayscale and Normal Guided Depth Completion With A Low-Cost Lidar,
ICIP21(979-983)
IEEE DOI 2201
Laser radar, Gray-scale, Depth completion, Multi-task learning, LiDAR, Attention mechanism, Dataset BibRef

Cao, Z.D.[Zi-Dong], Li, A.[Ang], Yuan, Z.[Zejian],
Self-Supervised Depth Completion via Adaptive Sampling and Relative Consistency,
ICIP21(3263-3267)
IEEE DOI 2201
Training, Annotations, Image processing, Image edge detection, Cameras, Self-supervise, Depth completion, Adaptive sampling, Relative consistency BibRef

Rumezhak, T.[Taras], Dobosevych, O.[Oles], Hryniv, R.[Rostyslav], Selotkin, V.[Vladyslav], Karpiv, V.[Volodymyr], Maksymenko, M.[Mykola],
Towards realistic symmetry-based completion of previously unseen point clouds,
TradiCV21(2542-2550)
IEEE DOI 2112
Surface reconstruction, Codes, Pipelines, Training data, Benchmark testing, Reconstruction algorithms 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

Lee, B.U.[Byeong-Uk], Lee, K.[Kyunghyun], Kweon, I.S.[In So],
Depth Completion using Plane-Residual Representation,
CVPR21(13911-13920)
IEEE DOI 2111
Estimation, Inference algorithms, Decoding, Classification algorithms, Pattern matching BibRef

Imran, S.[Saif], Liu, X.M.[Xiao-Ming], Morris, D.[Daniel],
Depth Completion with Twin Surface Extrapolation at Occlusion Boundaries,
CVPR21(2583-2592)
IEEE DOI 2111
Extrapolation, Interpolation, Fuses, Estimation, Channel estimation, Robustness 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, Pattern recognition, Task analysis, Image reconstruction, Periodic structures BibRef

Long, Y.F.[Yun-Fei], Morris, D.[Daniel], Liu, X.M.[Xiao-Ming], Castro, M.[Marcos], Chakravarty, P.[Punarjay], Narayanan, P.[Praveen],
Radar-Camera Pixel Depth Association for Depth Completion,
CVPR21(12502-12511)
IEEE DOI 2111
Training, Laser radar, Radar measurements, Image color analysis, Radar detection, Radar BibRef

Guizilini, V.[Vitor], Ambrus, R.[Rares], Burgard, W.[Wolfram], Gaidon, A.[Adrien],
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion,
CVPR21(11073-11083)
IEEE DOI 2111
Training, Image sensors, Image coding, Benchmark testing, Robot sensing systems, Sensors BibRef

Bowen, R.S.[Richard Strong], Chang, H.[Huiwen], Herrmann, C.[Charles], Teterwak, P.[Piotr], Liu, C.[Ce], Zabih, R.[Ramin],
OCONet: Image Extrapolation by Object Completion,
CVPR21(2307-2317)
IEEE DOI 2111
Extrapolation, Semantics, Pattern recognition BibRef

Alliegro, A.[Antonio], Valsesia, D.[Diego], Fracastoro, G.[Giulia], Magli, E.[Enrico], Tommasi, T.[Tatiana],
Denoise and Contrast for Category Agnostic Shape Completion,
CVPR21(4627-4636)
IEEE DOI 2111
Training, Solid modeling, Shape, Noise reduction, Semantics, Robustness BibRef

Zhang, J.Z.[Jun-Zhe], Chen, X.Y.[Xin-Yi], Cai, Z.A.[Zhong-Ang], Pan, L.[Liang], Zhao, H.[Haiyu], Yi, S.[Shuai], Yeo, C.K.[Chai Kiat], Dai, B.[Bo], Loy, C.C.[Chen Change],
Unsupervised 3D Shape Completion through GAN Inversion,
CVPR21(1768-1777)
IEEE DOI 2111
Geometry, Degradation, Interpolation, Shape, Computational modeling, Semantics BibRef

Hegde, G.[Girish], Pharale, T.[Tushar], Jahagirdar, S.[Soumya], Nargund, V.[Vaishakh], Tabib, R.A.[Ramesh Ashok], Mudenagudi, U.[Uma], Vandrotti, B.[Basavaraja], Dhiman, A.[Ankit],
DeepDNet: Deep Dense Network for Depth Completion Task,
WiCV21(2190-2199)
IEEE DOI 2109
Solid modeling, Image edge detection, Computational modeling, Robot sensing systems, Mobile handsets, Sensors BibRef

Ito, S.[Seiya], Kaneko, N.[Naoshi], Sumi, K.[Kazuhiko],
Seeing Farther Than Supervision: Self-supervised Depth Completion in Challenging Environments,
MVA21(1-5)
DOI Link 2109
Training, Estimation, Indoor environment, Sensors, Optical flow BibRef

Wu, Y.F.[You-Feng], Trant, V.H.[Vu-Hoang], Chang, T.W.[Ting-Wei], Chiu, W.C.[Wei-Chen], Huang, C.C.[Ching-Chun],
DEN: Disentangling and Exchanging Network for Depth Completion,
ICPR21(893-900)
IEEE DOI 2105
Image edge detection, Estimation, Metals, Feature extraction, Reflection, Sensors, Data mining BibRef

Wang, H.[Haiyan], Yang, L.[Liang], Rong, X.J.[Xue-Jian], Tian, Y.[Yingli],
Towards Efficient 3D Point Cloud Scene Completion via Novel Depth View Synthesis,
ICPR21(5573-5580)
IEEE DOI 2105
Training, Solid modeling, Annotations, Semantics, Benchmark testing, Rendering (computer graphics) BibRef

Gillsjö, D.[David], Åström, K.[Kalle],
In Depth Bayesian Semantic Scene Completion,
ICPR21(6335-6342)
IEEE DOI 2105
Training, Uncertainty, Semantics, Predictive models, Entropy, Bayes methods BibRef

Halimi, O.[Oshri], Imanuel, I.[Ido], Litany, O.[Or], Trappolini, G.[Giovanni], Rodolà, E.[Emanuele], Guibas, L.J.[Leonidas J.], Kimmel, R.[Ron],
Towards Precise Completion of Deformable Shapes,
ECCV20(XXIV:359-377).
Springer DOI 2012
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

Richard, A., Cherabier, I., Oswald, M.R., Pollefeys, M., Schindler, K.,
KAPLAN: A 3D Point Descriptor for Shape Completion,
3DV20(101-110)
IEEE DOI 2102
Shape, Feature extraction, Geometry, Convolutional codes, Task analysis, descriptor 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

Chen, Z., Wang, H., Wu, L., Zhou, Y., Wu, D.,
Spatiotemporal Guided Self-Supervised Depth Completion from LiDAR and Monocular Camera,
VCIP20(54-57)
IEEE DOI 2102
Laser radar, Training, Image reconstruction, Cameras, Task analysis, Benchmark testing, Automatic drive BibRef

Ghosh, P., Vineet, V., Davis, L.S., Shrivastava, A., Sinha, S., Joshi, N.,
Depth Completion Using a View-constrained Deep Prior,
3DV20(723-733)
IEEE DOI 2102
Electronics packaging, Optimization, Noise measurement, Image reconstruction, Training data, depthmaps 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

Park, J.[Jinsun], Joo, K.[Kyungdon], Hu, Z.[Zhe], Liu, C.K.[Chi-Kuei], Kweon, I.S.[In So],
Non-local Spatial Propagation Network for Depth Completion,
ECCV20(XIII:120-136).
Springer DOI 2011
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

Xu, Z., Yin, H., Yao, J.,
Deformable Spatial Propagation Networks For Depth Completion,
ICIP20(913-917)
IEEE DOI 2011
Task analysis, Benchmark testing, Laser radar, Measurement, Interpolation, Autonomous vehicles, Training, depth completion, KITTI dataset BibRef

Xiong, X.[Xin], Xiong, H.P.[Hai-Peng], Xian, K.[Ke], Zhao, C.[Chen], Cao, Z.G.[Zhi-Guo], Li, X.[Xin],
Sparse-to-dense Depth Completion Revisited: Sampling Strategy and Graph Construction,
ECCV20(XXI:682-699).
Springer DOI 2011
BibRef

Lu, K., Barnes, N., Anwar, S., Zheng, L.,
From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction,
CVPR20(11303-11312)
IEEE DOI 2008
Image reconstruction, Task analysis, Semantics, Feature extraction, Training, Testing, Image segmentation 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

Gu, J.Y.[Jia-Yuan], Ma, W.C.[Wei-Chiu], Manivasagam, S.[Sivabalan], Zeng, W.Y.[Wen-Yuan], Wang, Z.H.[Zi-Hao], Xiong, Y.W.[Yu-Wen], Su, H.[Hao], Urtasun, R.[Raquel],
Weakly-supervised 3d Shape Completion in the Wild,
ECCV20(V:283-299).
Springer DOI 2011
BibRef

Wu, R.[Rundi], Chen, X.[Xuelin], Zhuang, Y.X.[Yi-Xin], Chen, B.Q.[Bao-Quan],
Multimodal Shape Completion via Conditional Generative Adversarial Networks,
ECCV20(IV:281-296).
Springer DOI 2011
BibRef

Azinovic, D.[Dejan], Martin-Brualla, R.[Ricardo], Goldman, D.B.[Dan B.], Nießner, M.[Matthias], Thies, J.[Justus],
Neural RGB-D Surface Reconstruction,
CVPR22(6280-6291)
IEEE DOI 2210
Surface reconstruction, Teleconferencing, Planing, Current measurement, Mixed reality, Vision + graphics BibRef

Dai, A.[Angela], Siddiqui, Y.[Yawar], Thies, J.[Justus], Valentin, J.[Julien], Nießner, M.[Matthias],
SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans,
CVPR21(1747-1756)
IEEE DOI 2111
Geometry, Solid modeling, Image color analysis, Data models BibRef

Dai, A.[Angela], Diller, C., Nießner, M.[Matthias],
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans,
CVPR20(846-855)
IEEE DOI 2008
Training, Geometry, Task analysis, Neural networks, Surface reconstruction, Solid modeling BibRef

Wang, P., Liu, Y., Tong, X.,
Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion,
L3DGM20(1074-1081)
IEEE DOI 2008
Octrees, Shape, Decoding, Geometry, Task analysis, Semantics BibRef

Li, A.[Ang], Yuan, Z.J.[Ze-Jian], Ling, Y.G.[Yong-Gen], Chit, W.C.[Wan-Chao], Zhang, S.H.[Sheng-Hao], Zhang, C.[Chong],
FastCompletion: A Cascade Network with Multiscale Group-Fused Inputs for Real-Time Depth Completion,
ICPR21(866-872)
IEEE DOI 2105
Computational modeling, Benchmark testing, Feature extraction, Real-time systems, Sensors, Pattern recognition BibRef

Li, A.[Ang], Yuan, Z.J.[Ze-Jian], Ling, Y.G.[Yong-Gen], Chi, W.C.[Wan-Chao], Zhang, S.H.[Sheng-Hao], Zhang, C.[Chong],
A Multi-Scale Guided Cascade Hourglass Network for Depth Completion,
WACV20(32-40)
IEEE DOI 2006
Feature extraction, Convolution, Color, Estimation, Task analysis, Image resolution BibRef

Qu, C.[Chao], Liu, W.X.[Wen-Xin], Taylor, C.J.[Camillo J.],
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty,
ICCV21(16127-16137)
IEEE DOI 2203
Uncertainty, Fitting, Measurement uncertainty, Estimation, Sensor fusion, Robot sensing systems, 3D from a single image and shape-from-x BibRef

Qu, C., Nguyen, T., Taylor, C.J.,
Depth Completion via Deep Basis Fitting,
WACV20(71-80)
IEEE DOI 2006
Training, Task analysis, Convolution, Robustness, Linear programming, Fitting, Estimation BibRef

Huang, Y., Wu, T., Liu, Y., Hsu, W.H.,
Indoor Depth Completion with Boundary Consistency and Self-Attention,
RLQ19(1070-1078)
IEEE DOI 2004
convolutional neural nets, feature extraction, image capture, image colour analysis, image enhancement, image restoration, Image Enhancement BibRef

Xu, Y., Zhu, X., Shi, J., Zhang, G., Bao, H., Li, H.,
Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints,
ICCV19(2811-2820)
IEEE DOI 2004
convolutional neural nets, learning (artificial intelligence), optical radar, radar computing, solid modelling, dense depth maps, Surface treatment BibRef

Chen, Y., Yang, B., Liang, M., Urtasun, R.,
Learning Joint 2D-3D Representations for Depth Completion,
ICCV19(10022-10031)
IEEE DOI 2004
feature extraction, image colour analysis, image representation, learning (artificial intelligence), depth completion network, Sensors BibRef

Imran, S.[Saif], Long, Y.F.[Yun-Fei], Liu, X.M.[Xiao-Ming], Morris, D.[Daniel],
Depth Coefficients for Depth Completion,
CVPR19(12438-12447).
IEEE DOI 2002
BibRef

Chen, Y., Garbade, M., Gall, J.,
3D Semantic Scene Completion from a Single Depth Image Using Adversarial Training,
ICIP19(1835-1839)
IEEE DOI 1910
Semantic scene completion, Generative adversarial network BibRef

Chodosh, N.[Nathaniel], Wang, C.Y.[Chao-Yang], Lucey, S.[Simon],
Deep Convolutional Compressed Sensing for LiDAR Depth Completion,
ACCV18(I:499-513).
Springer DOI 1906
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

Chen, Y.C.[Yu-Chieh], Tan, D.S.[Daniel Stanley], Cheng, W.H.[Wen-Huang], Hua, K.L.[Kai-Lung],
3D Object Completion via Class-Conditional Generative Adversarial Network,
MMMod19(II:54-66).
Springer DOI 1901
BibRef

Zhang, Y., Funkhouser, T.,
Deep Depth Completion of a Single RGB-D Image,
CVPR18(175-185)
IEEE DOI 1812
Surface reconstruction, Cameras, Image reconstruction, Image color analysis, Image resolution, Color, Optimization BibRef

Dai, A., Ritchie, D., Bokeloh, M., Reed, S., Sturm, J., Nießner, M.,
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans,
CVPR18(4578-4587)
IEEE DOI 1812
Semantics, Geometry, Solid modeling, Spatial resolution, Shape, Cameras BibRef

Ku, J., Harakeh, A., Waslander, S.L.,
In Defense of Classical Image Processing: Fast Depth Completion on the CPU,
CRV18(16-22)
IEEE DOI 1812
Laser radar, Kernel, Image processing, Neural networks, Task analysis, Approximation algorithms, image processing, depth completion BibRef

Dimitrievski, M.[Martin], Veelaert, P.[Peter], Philips, W.[Wilfried],
Learning Morphological Operators for Depth Completion,
ACIVS18(450-461).
Springer DOI 1810
BibRef

Atapour-Abarghouei, A.[Amir], Breckon, T.P.[Toby P.],
Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion,
ICIAR18(306-314).
Springer DOI 1807
BibRef

Pan, L.Y.[Li-Yuan], Dai, Y.C.[Yu-Chao], Liu, M.M.[Miao-Miao], Porikli, F.M.[Fatih M.],
Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps,
WACV18(1377-1386)
IEEE DOI 1806
image colour analysis, image motion analysis, image resolution, image sequences, learning (artificial intelligence), BibRef

Han, X., Li, Z., Huang, H., Kalogerakis, E.[Evangelos], Yu, Y.,
High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference,
ICCV17(85-93)
IEEE DOI 1802
encoding, geometry, image fusion, image representation, image resolution, learning (artificial intelligence), BibRef

Dai, A., Qi, C.R., Nießner, M.,
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis,
CVPR17(6545-6554)
IEEE DOI 1711
Databases, Geometry, Shape, Solid modeling, Training BibRef

Thabet, A.K.[Ali K.], Lahoud, J.[Jean], Asmar, D.[Daniel], Ghanem, B.[Bernard],
3D Aware Correction and Completion of Depth Maps in Piecewise Planar Scenes,
ACCV14(II: 226-241).
Springer DOI 1504
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

Ide, K.[Kai], Keller, I.[Ivo], Sikora, T.[Thomas],
Consensus-based multiview texturing and depth-map completion,
ICIP13(2126-2130)
IEEE DOI 1402
3D Scanning BibRef

Wang, L.[Liang], Jin, H.L.[Hai-Lin], Yang, R.G.[Rui-Gang], Gong, M.L.[Ming-Lun],
Stereoscopic inpainting: Joint color and depth completion from stereo images,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Denoising, Range Images, Range, Depth Data .


Last update:Sep 28, 2024 at 17:47:54