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
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
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
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
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
Wei, M.[Ming],
Zhu, M.[Ming],
Zhang, Y.Y.[Yao-Yuan],
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
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
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
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
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.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
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
Xiong, M.K.[Ming-Kang],
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
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
Zhao, L.Q.[Lin-Qing],
Zheng, W.Z.[Wen-Zhao],
Duan, Y.Q.[Yue-Qi],
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.M.[Xuan-Meng],
Zheng, Z.D.[Zhe-Dong],
Jiang, M.Y.[Min-Yue],
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
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
Wang, H.W.[Hao-Wen],
Che, Z.P.[Zheng-Ping],
Yang, Y.F.[Yu-Fan],
Wang, M.Y.[Ming-Yuan],
Xu, Z.Y.[Zhi-Yuan],
Qiao, X.Q.[Xiu-Quan],
Qi, M.S.[Meng-Shi],
Feng, F.F.[Fei-Fei],
Tang, J.[Jian],
RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion,
PAMI(46), No. 11, November 2024, pp. 7088-7101.
IEEE DOI
2410
Task analysis, Sensors, Image reconstruction, Training,
Image sensors, Sun, Depth completion, RGB-depth fusion
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
Fu, Z.C.[Zhi-Chao],
Wu, A.[Anran],
Yang, S.W.[Shu-Wen],
Ma, T.L.[Tian-Long],
He, L.[Liang],
CAFNet: Context aligned fusion for depth completion,
CVIU(249), 2024, pp. 104158.
Elsevier DOI
2412
Depth completion, Multi-modal fusion, Contextual information alignment
BibRef
Fu, Z.C.[Zhi-Chao],
Wu, A.[Anran],
Zhuang, Z.[Zisong],
Wu, X.J.[Xing-Jiao],
He, J.[Jun],
A lightweight depth completion network with spatial efficient fusion,
IVC(153), 2025, pp. 105335.
Elsevier DOI
2501
Depth completion, LiDAR data processing, Lightweight network,
Spatial efficient, Multi-modal fusion
BibRef
Zeng, J.[Jin],
Zhu, Q.P.[Qing-Peng],
Tian, T.X.[Tong-Xuan],
Sun, W.X.[Wen-Xiu],
Zhang, L.[Lin],
Zhao, S.J.[Sheng-Jie],
Deep Unrolled Weighted Graph Laplacian Regularization for Depth
Completion,
IJCV(133), No. 1, January 2025, pp. 190-210.
Springer DOI
2501
BibRef
Jia, J.W.[Jing-Wei],
He, C.Y.[Chang-Yong],
Wang, J.H.[Jian-Hui],
Cheung, G.[Gene],
Zeng, J.[Jin],
Deep Unrolled Graph Laplacian Regularization for Robust
Time-of-Flight Depth Denoising,
SPLetters(32), 2025, pp. 821-825.
IEEE DOI
2503
Noise, Noise reduction, Imaging, Optimization, Noise measurement,
Laplace equations, Filters, Training, Phase measurement, Overfitting,
deep neural network
BibRef
Wang, H.T.[Hao-Tian],
Yang, M.[Meng],
Zheng, X.[Xinhu],
Hua, G.[Gang],
Scale Propagation Network for Generalizable Depth Completion,
PAMI(47), No. 3, March 2025, pp. 1908-1922.
IEEE DOI
2502
Network architecture, Artificial neural networks, Training,
Visualization, Data models, Accuracy, Transformers, Solid modeling,
scale propagation
BibRef
Sun, M.M.[Ming-Ming],
Li, T.[Tao],
Liao, Q.[Qing],
Zhou, M.H.[Ming-Hui],
Depth completion based on multi-scale spatial propagation and tensor
decomposition,
JVCIR(107), 2025, pp. 104394.
Elsevier DOI
2503
Depth completion, Multi-scale, Tensor decomposition, Feature fusion
BibRef
Xing, G.[Genyuan],
Lin, J.[Jun],
Wu, K.[Kunyang],
Liu, Y.[Yang],
Zhang, G.[Guanyu],
High-Resolution LiDAR Depth Completion Algorithm Guided by Image
Topography Maps,
ITS(26), No. 4, April 2025, pp. 4457-4468.
IEEE DOI
2504
Image edge detection, Laser radar, Convolution, Kernel,
Depth measurement, Intelligent transportation systems, sparse data
BibRef
Shao, S.W.[Shu-Wei],
Pei, Z.C.[Zhong-Cai],
Chen, W.H.[Wei-Hai],
Chen, P.C.Y.[Peter C. Y.],
Li, Z.G.[Zheng-Guo],
IEBins: Iterative Elastic Bins for Monocular Depth Estimation and
Completion,
IJCV(133), No. 5, May 2025, pp. 2463-2486.
Springer DOI
2504
BibRef
Xiao, L.Y.[Ling-Yu],
Wu, J.H.[Jin-Hui],
Hu, J.J.[Jun-Jie],
Li, Z.Y.[Zi-Yu],
Yang, W.K.[Wan-Kou],
Domain adaptive depth completion via spatial-error consistency,
PR(166), 2025, pp. 111645.
Elsevier DOI
2505
Depth completion, Domain adaptation, Uncertainty estimation, Autonomous vehicles
BibRef
Li, J.Q.[Jia-Qi],
Wen, S.H.[Shu-Huan],
Lu, D.[Di],
Li, L.X.[Lin-Xiang],
Zhang, H.[Hong],
Voxel and deep learning based depth complementation for transparent
objects,
PRL(193), 2025, pp. 14-20.
Elsevier DOI
2505
Shadow detection, Semi-supervised learning,
Point cloud segmentation, Depth completion, Transparent objects
BibRef
Wang, M.[Meng],
Ding, Y.[Yan],
Liu, Y.M.[Yu-Meng],
Qin, Y.C.[Yun-Chuan],
Li, R.[Ruihui],
Tang, Z.[Zhuo],
MixSSC: Forward-Backward Mixture for Vision-Based 3D Semantic Scene
Completion,
CirSysVideo(35), No. 6, June 2025, pp. 5684-5696.
IEEE DOI Code:
WWW Link.
2506
Semantics, Image reconstruction, Geometry,
Convolution, Buildings, Semantic segmentation, Accuracy,
scene understanding
BibRef
Yan, Z.Q.[Zhi-Qiang],
Li, X.[Xiang],
Hui, L.[Le],
Zhang, Z.Y.[Zhen-Yu],
Li, J.[Jun],
Yang, J.[Jian],
RigNet++: Semantic Assisted Repetitive Image Guided Network for Depth
Completion,
IJCV(133), No. 9, September 2025, pp. 6051-6073.
Springer DOI
2509
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
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, Z.X.[Zheng-Xue],
Wang, K.[Kun],
Li, J.[Jun],
Yang, J.[Jian],
Completion as Enhancement: A Degradation-Aware Selective Image Guided
Network for Depth Completion,
CVPR25(26943-26953)
IEEE DOI
2508
Degradation, Bridges, Convolution, Transforms,
Convolutional neural networks, Sun, depth completion, conditional mamba
BibRef
Chen, S.[Shenglun],
Ma, X.Z.[Xin-Zhu],
Zhang, H.[Hong],
Li, H.J.[Hao-Jie],
Wang, Z.H.[Zhi-Hui],
Propagating Sparse Depth via Depth Foundation Model for
Out-of-Distribution Depth Completion,
IP(34), 2025, pp. 5285-5299.
IEEE DOI Code:
WWW Link.
2509
Foundation models, Depth measurement, Training, Robustness, Measurement,
Cameras, Data models, Image reconstruction, Data mining, depth estimation
BibRef
Yan, Z.Q.[Zhi-Qiang],
Wang, K.[Kun],
Li, X.[Xiang],
Gao, G.W.[Guang-Wei],
Li, J.[Jun],
Yang, J.[Jian],
Tri-Perspective View Decomposition for Geometry Aware Depth
Completion and Super-Resolution,
PAMI(47), No. 12, December 2025, pp. 11330-11347.
IEEE DOI
2511
Superresolution, Point cloud compression, Geometry, Kernel, Sensors,
Cameras, Solid modeling, Image color analysis, Depth measurement,
TOF RGB-D dataset
BibRef
Yan, Z.Q.[Zhi-Qiang],
Lin, Y.K.[Yuan-Kai],
Wang, K.[Kun],
Zheng, Y.P.[Yu-Peng],
Wang, Y.F.[Yu-Fei],
Zhang, Z.Y.[Zhen-Yu],
Li, J.[Jun],
Yang, J.[Jian],
Tri-Perspective view Decomposition for Geometry-Aware Depth
Completion,
CVPR24(4874-4884)
IEEE DOI
2410
Geometry, Point cloud compression, Solid modeling, Laser radar,
Convolution, autonomous driving, ToF camera
BibRef
Zhu, X.[Xuan],
Xiang, J.[Jijun],
Wang, X.Q.[Xian-Qi],
Liu, L.L.[Long-Liang],
Wang, Y.[Yu],
Zhang, H.[Hong],
Guo, F.[Fei],
Yang, X.[Xin],
SVDC: Consistent Direct Time-of-Flight Video Depth Completion with
Frequency Selective Fusion,
CVPR25(16619-16628)
IEEE DOI Code:
WWW Link.
2508
Time-frequency analysis, Accuracy, Convolution, Imaging,
Mobile handsets, Sensors, Noise measurement, Optical flow, Videos
BibRef
Bekci, B.[Burak],
Navab, N.[Nassir],
Tombari, F.[Federico],
Saleh, M.[Mahdi],
ESCAPE: Equivariant Shape Completion via Anchor Point Encoding,
CVPR25(6480-6489)
IEEE DOI
2508
Geometry, Shape, Robot kinematics, Pose estimation, Transformers,
Encoding, Robustness
BibRef
Rim, P.[Patrick],
Park, H.[Hyoungseob],
Gangopadhyay, S.,
Zeng, Z.[Ziyao],
Chung, Y.[Younjoon],
Wong, A.[Alex],
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes,
CVPR25(6304-6316)
IEEE DOI Code:
WWW Link.
2508
Training, Point cloud compression, Adaptation models, Prototypes,
Benchmark testing, prototypes
BibRef
Ao, J.Y.[Jia-Yang],
Jiang, Y.B.[Yan-Bei],
Ke, Q.H.[Qiu-Hong],
Ehinger, K.A.[Krista A.],
Open-World Amodal Appearance Completion,
CVPR25(6490-6499)
IEEE DOI Code:
WWW Link.
2508
Measurement, Training, Image segmentation, Limiting, Image synthesis,
Soft sensors, User preference, Image reconstruction, de-occlusion, RGBA
BibRef
Liang, Y.P.[Ying-Ping],
Hu, Y.T.[Yu-Tao],
Shao, W.Q.[Wen-Qi],
Fu, Y.[Ying],
Distilling Monocular Foundation Model for Fine-grained Depth
Completion,
CVPR25(22254-22265)
IEEE DOI Code:
WWW Link.
2508
Laser radar, Foundation models, Depth measurement, Training data,
Benchmark testing, Sensor phenomena and characterization,
depth completion
BibRef
Deka, P.[Pallabjyoti],
Bhattacharya, S.[Saumik],
Sen, D.[Debashis],
Biswas, P.K.[Prabir Kumar],
3D Shape Completion using Multi-resolution Spectral Encoding,
WACV25(54-63)
IEEE DOI
2505
Training, Surface reconstruction, Solid modeling, Shape,
Fast Fourier transforms, Shape measurement, Feature extraction,
spectral encoding
BibRef
Cui, R.[Ruikai],
Liu, W.Z.[Wei-Zhe],
Sun, W.X.[Wei-Xuan],
Wang, S.[Senbo],
Shang, T.[Taizhang],
Li, Y.[Yang],
Song, X.B.[Xi-Bin],
Yan, H.[Han],
Wu, Z.[Zhennan],
Chen, S.[Shenzhou],
Li, H.D.[Hong-Dong],
Ji, P.[Pan],
Neusdfusion: A Spatial-aware Generative Model for 3d Shape Completion,
Reconstruction, and Generation,
ECCV24(XIX: 1-18).
Springer DOI
2412
BibRef
Kim, J.[Jungeon],
Kim, S.J.[Soong-Jin],
Park, J.[Jaesik],
Lee, S.Y.[Seung-Yong],
Deep Cost Ray Fusion for Sparse Depth Video Completion,
ECCV24(XXVI: 328-346).
Springer DOI
2412
BibRef
Dai, X.L.[Xue-Long],
Xiao, B.[Bin],
Transferable 3d Adversarial Shape Completion Using Diffusion Models,
ECCV24(XXVIII: 392-408).
Springer DOI
2412
BibRef
Li, M.F.[Ming-Feng],
Ku, Y.F.[Yueh-Feng],
Yen, H.X.[Hong-Xuan],
Liu, C.[Chi],
Liu, Y.L.[Yu-Lun],
Chen, A.Y.C.[Albert Y. C.],
Kuo, C.H.[Cheng-Hao],
Sun, M.[Min],
Genrc: Generative 3d Room Completion from Sparse Image Collections,
ECCV24(XXXVII: 146-163).
Springer DOI
2412
BibRef
Li, H.D.[Hua-Dong],
Jing, M.[Minhao],
Jin, W.[Wang],
Dong, S.C.[Shi-Chao],
Liang, J.J.[Jia-Jun],
Fan, H.Q.[Hao-Qiang],
Ji, R.[Renhe],
Sparse Beats Dense: Rethinking Supervision in Radar-camera Depth
Completion,
ECCV24(XLIX: 127-143).
Springer DOI
2412
BibRef
Liu, M.Y.[Meng-Ya],
Chhatkuli, A.[Ajad],
Postels, J.[Janis],
Van Gool, L.J.[Luc J.],
Tombari, F.[Federico],
Self-supervised Shape Completion via Involution and Implicit
Correspondences,
ECCV24(LVIII: 212-229).
Springer DOI
2412
BibRef
Huan, L.[Linxi],
Dong, M.Y.[Ming-Yue],
Yue, L.W.[Lin-Wei],
Shen, S.H.[Shu-Han],
Zheng, X.W.[Xian-Wei],
Easing 3d Pattern Reasoning with Side-view Features for Semantic Scene
Completion,
ECCV24(LXIX: 440-455).
Springer DOI
2412
BibRef
Li, B.[Bohan],
Deng, J.J.[Jia-Jun],
Zhang, W.[Wenyao],
Liang, Z.J.[Zhu-Jin],
Du, D.L.[Da-Long],
Jin, X.[Xin],
Zeng, W.J.[Wen-Jun],
Hierarchical Temporal Context Learning for Camera-based Semantic Scene
Completion,
ECCV24(IV: 131-148).
Springer DOI
2412
BibRef
Zuo, Y.M.[Yi-Ming],
Deng, J.[Jia],
OGNI-DC: Robust Depth Completion with Optimization-guided Neural
Iterations,
ECCV24(III: 78-95).
Springer DOI
2412
BibRef
Wu, Y.C.[Yang-Chao],
Liu, T.Y.[Tian Yu],
Park, H.[Hyoungseob],
Soatto, S.[Stefano],
Lao, D.[Dong],
Wong, A.[Alex],
Augundo: Scaling Up Augmentations for Monocular Depth Completion and
Estimation,
ECCV24(LXIV: 274-293).
Springer DOI
2412
BibRef
Zhan, G.Q.[Guan-Qi],
Zheng, C.X.[Chuan-Xia],
Xie, W.[Weidi],
Zisserman, A.[Andrew],
Amodal Ground Truth and Completion in the Wild,
CVPR24(28003-28013)
IEEE DOI Code:
WWW Link.
2410
Image segmentation, Codes, Computational modeling, Pipelines,
Object segmentation
BibRef
Sun, S.[Su],
Zhao, C.[Cheng],
Guo, Y.L.[Yu-Liang],
Wang, R.[Ruoyu],
Huang, X.Y.[Xin-Yu],
Chen, Y.J.V.[Ying-Jie Victor],
Ren, L.[Liu],
Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with
Occluded Surfaces Completion,
CVPR24(12744-12753)
IEEE DOI Code:
WWW Link.
2410
Geometry, Surface reconstruction, Octrees,
Reconstruction algorithms, Licenses, 3D Reconstruction, 3D Surface Completion
BibRef
Zhang, D.[Dongsu],
Williams, F.[Francis],
Gojcic, Z.[Zan],
Kreis, K.[Karsten],
Fidler, S.[Sanja],
Kim, Y.M.[Young Min],
Kar, A.[Amlan],
Outdoor Scene Extrapolation with Hierarchical Generative Cellular
Automata,
CVPR24(20145-20154)
IEEE DOI
2410
Geometry, Solid modeling, Extrapolation, Laser radar, Automata,
Real-time systems, 3D shape completion, generative model
BibRef
Wu, X.[Xianzu],
Wu, X.F.[Xian-Feng],
Luan, T.Y.[Tian-Yu],
Bai, Y.J.[Ya-Jing],
Lai, Z.Y.[Zhong-Yuan],
Yuan, J.S.[Jun-Song],
FSC: Few-Point Shape Completion,
CVPR24(26077-26087)
IEEE DOI Code:
WWW Link.
2410
Point cloud compression, Shape, Feature extraction, Robustness,
Entropy, Encoding
BibRef
Park, H.[Hyoungseob],
Gupta, A.[Anjali],
Wong, A.[Alex],
Test- Time Adaptation for Depth Completion,
CVPR24(20519-20529)
IEEE DOI
2410
Degradation, Adaptation models, Image coding, Codes, Data models,
Test time adaptation, Depth estimation, 3D Multi-modal fusion
BibRef
Wang, Y.F.[Yu-Fei],
Zhang, G.[Ge],
Wang, S.Q.[Shao-Qian],
Li, B.[Bo],
Liu, Q.[Qi],
Hui, L.[Le],
Dai, Y.C.[Yu-Chao],
Improving Depth Completion via Depth Feature Upsampling,
CVPR24(21104-21113)
IEEE DOI Code:
WWW Link.
2410
Adaptive systems, Navigation, Decoding,
Depth Completion, Deep Learning
BibRef
Park, J.[Jinhyung],
Li, Y.J.[Yu-Jhe],
Kitani, K.[Kris],
Flexible Depth Completion for Sparse and Varying Point Densities,
CVPR24(21540-21550)
IEEE DOI
2410
Adaptation models, Laser radar, Computational modeling, Estimation,
Filling, Sensors, depth completion, tranformer
BibRef
Jun, J.[Jinyoung],
Lee, J.H.[Jae-Han],
Kim, C.S.[Chang-Su],
Masked Spatial Propagation Network for Sparsity-Adaptive Depth
Refinement,
CVPR24(19768-19778)
IEEE DOI
2410
Training, Laser radar, Codes, Hardware, Sensors,
3D from multi-view and sensors, depth completion, depth refinement
BibRef
Tang, J.[Jie],
Tian, F.P.[Fei-Peng],
An, B.[Boshi],
Li, J.[Jian],
Tan, P.[Ping],
Bilateral Propagation Network for Depth Completion,
CVPR24(9763-9772)
IEEE DOI
2410
Convolutional codes, Convolution, Current measurement, Estimation,
Radiometry, Transformers
BibRef
Shi, Y.X.[Yun-Xiao],
Singh, M.K.[Manish Kumar],
Cai, H.[Hong],
Porikli, F.M.[Fatih M.],
DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions,
CVPR24(10736-10746)
IEEE DOI
2410
Point cloud compression, Solid modeling, Accuracy, Costs,
Benchmark testing, Transformers, depth completion, 3D computer vision
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
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
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
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
Zhang, Y.M.[You-Min],
Guo, X.D.[Xian-Da],
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
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
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
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
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
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
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
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
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),
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
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, 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
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
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
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
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
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
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
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
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
Optimization, Noise measurement,
Image reconstruction, Training data, depthmaps
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
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
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.L.[Xue-Lin],
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
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
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
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
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
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
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
Scene Completion, Semantic Scene Completion .