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
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.[Jiangning],
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, Computer architecture,
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.[Siqi],
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, Computer architecture,
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, Computer architecture, 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
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
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
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, 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.[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 .