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.[Xincheng],
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, Computer vision
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.[Zhendong],
Zhu, H.[Hongchun],
Wu, P.[Pengda],
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
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
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
Roldão, L.,
de Charette, R.,
Verroust-Blondet, A.,
LMSCNet: Lightweight Multiscale 3D Semantic Completion,
3DV20(111-119)
IEEE DOI
2102
Semantics,
Convolutional codes, Task analysis, Laser radar, Sensors, Robotics
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
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
Wang, X.,
Ang, M.H.,
Lee, G.H.,
Cascaded Refinement Network for Point Cloud Completion,
CVPR20(787-796)
IEEE DOI
2008
Shape, Feature extraction,
Task analysis, Generators, Training
BibRef
Wen, X.,
Li, T.,
Han, Z.,
Liu, Y.,
Point Cloud Completion by Skip-Attention Network With Hierarchical
Folding,
CVPR20(1936-1945)
IEEE DOI
2008
Shape, Decoding, Feature extraction,
Computer vision, 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
Dai, A.,
Diller, C.,
Nießner, M.,
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, Computer architecture, 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,
Computer architecture, Image resolution
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.[Yunfei],
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.[Chaoyang],
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
computer vision, 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 .