11.14.3.9.12 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.[Shuhan],
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.[Wenguang], Xu, S.[Shibiao], 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

Gao, F.[Fang], Shi, P.[Pengbo], Wang, J.B.[Jia-Bao], Li, W.[Wenbo], 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

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.[Lipeng], 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.[Xinpu], Xu, G.[Guoquan], 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

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.[Shuwen], Fu, Z.C.[Zhi-Chao], Wu, X.J.[Xing-Jiao], Du, X.[Xiangcheng], Ma, T.[Tianlong], 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.[Haowen], Wang, M.[Mingyuan], Che, Z.P.[Zheng-Ping], Xu, Z.Y.[Zhi-Yuan], Qiao, X.[Xiuquan], Qi, M.[Mengshi], 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.[Yuqi], 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], Yang, X.[Xuemeng], Wang, M.M.[Meng-Meng], Zhao, X.[Xiangrui], Zhang, J.N.[Jiang-Ning], Yuan, Y.[Yi], Xu, Y.[Yifan], 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.[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

Lu, K.Y.[Kai-Yue], Barnes, N.[Nick], 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.[Kunyao], Yin, F.[Fei], Wu, B.[Baichuan], 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.[Xiaobao], 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

Pan, L.[Liang], Chen, X.[Xinyi], Cai, Z.[Zhongang], Zhang, J.Z.[Jun-Zhe], Zhao, H.[Haiyu], Yi, S.[Shuai], Liu, Z.[Ziwei],
Variational Relational Point Completion Network,
CVPR21(8520-8529)
IEEE DOI 2111
Training, Solid modeling, Shape, Probabilistic logic, Skeleton, Robustness 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

Zhu, L.Y.[Lu-Yang], Mousavian, A.[Arsalan], Xiang, Y.[Yu], Mazhar, H.[Hammad], van Eenbergen, J.[Jozef], Debnath, S.[Shoubhik], Fox, D.[Dieter],
RGB-D Local Implicit Function for Depth Completion of Transparent Objects,
CVPR21(4647-4656)
IEEE DOI 2111
Pipelines, Robot vision systems, Estimation, Sensors, Pattern recognition 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.[Xibin], 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

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 Learning Multi-step Point Moving Paths,
CVPR21(7439-7448)
IEEE DOI 2111
Earth, Codes, Shape, Neural networks, Topology 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.[Xinyi], Cai, Z.[Zhongang], 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

Lopez-Rodriguez, A.[Adrian], Busam, B.[Benjamin], Mikolajczyk, K.[Krystian],
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data,
ACCV20(I:330-348).
Springer DOI 2103
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

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],
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer,
ICCV21(5479-5489)
IEEE DOI 2203
Point cloud compression, 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

Huang, Z., Yu, Y., Xu, J., Ni, F., Le, X.,
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.[Yuwen], 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 .