Breckon, T.P.[Toby P.],
Fisher, R.B.[Robert B.],
Amodal volume completion: 3D visual completion,
CVIU(99), No. 3, September 2005, pp. 499-526.
Elsevier DOI
Surface Completion.
0508
BibRef
And:
Non-parametric 3D surface completion,
3DIM05(573-580).
IEEE DOI
0508
BibRef
Earlier:
Environment Authentication Through 3D Structural Analysis,
ICIAR04(I: 680-687).
Springer DOI
0409
Complete partially visible objects.
BibRef
Breckon, T.P.[Toby P.],
Fisher, R.B.[Robert B.],
Three-Dimensional Surface Relief Completion Via Nonparametric
Techniques,
PAMI(30), No. 12, December 2008, pp. 2249-2255.
IEEE DOI
0811
Surface Completion. Automated hole filling of 3D data using underlying models and
known surfaces.
BibRef
Breckon, T.P.[Toby P.],
Fisher, R.B.[Robert B.],
A hierarchical extension to 3D non-parametric surface relief completion,
PR(45), No. 1, January 2012, pp. 172-185.
Elsevier DOI
1109
3D relief completion; Amodal completion; Volume completion; Visual
completion; Perceptual completion; Visual propagation; 3D surface
completion
BibRef
Yang, L.[Long],
Yan, Q.[Qingan],
Xiao, C.X.[Chun-Xia],
Shape-controllable geometry completion for point cloud models,
VC(33), No. 3, March 2017, pp. 385-398.
WWW Link.
1702
BibRef
Zuo, Y.,
Wu, Q.,
Zhang, J.,
An, P.,
Explicit Edge Inconsistency Evaluation Model for Color-Guided Depth
Map Enhancement,
CirSysVideo(28), No. 2, February 2018, pp. 439-453.
IEEE DOI
1802
BibRef
Earlier: A1, A2, A4, A3:
Explicit measurement on depth-color inconsistency for depth
completion,
ICIP16(4037-4041)
IEEE DOI
1610
Color, Image color analysis, Image edge detection,
Image resolution, Noise measurement, Robustness, Sensors,
depth map superresolution (SR).
Color
BibRef
Zuo, Y.,
Wu, Q.,
Zhang, J.,
An, P.,
Minimum Spanning Forest With Embedded Edge Inconsistency Measurement
Model for Guided Depth Map Enhancement,
IP(27), No. 8, August 2018, pp. 4145-4159.
IEEE DOI
1806
Color, Computational modeling, Image color analysis,
Image edge detection, Optimization, Sensors, Vegetation,
depth map enhancement
BibRef
Liu, H.M.[Hong-Min],
Tang, X.C.[Xin-Cheng],
Shen, S.H.[Shu-Han],
Depth-map completion for large indoor scene reconstruction,
PR(99), 2020, pp. 107112.
Elsevier DOI
1912
Depth completion, MVS, 3D Reconstruction, Point cloud,
BibRef
Huang, Z.,
Fan, J.,
Cheng, S.,
Yi, S.,
Wang, X.,
Li, H.,
HMS-Net: Hierarchical Multi-Scale Sparsity-Invariant Network for
Sparse Depth Completion,
IP(29), 2020, pp. 3429-3441.
IEEE DOI
2002
Depth completion, convolutional neural network, sparsity-invariant operations
BibRef
Stutz, D.[David],
Geiger, A.[Andreas],
Learning 3D Shape Completion Under Weak Supervision,
IJCV(128), No. 5, May 2020, pp. 1162-1181.
Springer DOI
2005
BibRef
Learning 3D Shape Completion from Laser Scan Data with Weak
Supervision,
CVPR18(1955-1964)
IEEE DOI
1812
Shape, Maximum likelihood decoding,
Optimization, Neural networks
BibRef
Ma, W.[Wei],
Zheng, M.[Mana],
Ma, W.G.[Wen-Guang],
Xu, S.B.[Shi-Biao],
Zhang, X.P.[Xiao-Peng],
Learning Across Views for Stereo Image Completion,
IET-CV(14), No. 7, October 2020, pp. 482-492.
DOI Link
2010
BibRef
Tang, J.[Jie],
Tian, F.P.[Fei-Peng],
Feng, W.[Wei],
Li, J.[Jian],
Tan, P.[Ping],
Learning Guided Convolutional Network for Depth Completion,
IP(30), 2021, pp. 1116-1129.
IEEE DOI
2012
Convolution, Kernel, Laser radar, Graphics processing units,
Feature extraction, Task analysis, Sensors, Depth completion,
convolutional neural networks
BibRef
Zhang, C.S.[Chun-Sen],
Shi, S.[Shu],
Ge, Y.W.[Ying-Wei],
Liu, H.H.[Heng-Heng],
Cui, W.H.[Wei-Hong],
DEM Void Filling Based on Context Attention Generation Model,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Liu, L.,
Liao, Y.,
Wang, Y.,
Geiger, A.,
Liu, Y.,
Learning Steering Kernels for Guided Depth Completion,
IP(30), 2021, pp. 2850-2861.
IEEE DOI
2102
Kernel, Task analysis, Shape, Interpolation, Estimation,
Neural networks, Standards, Depth completion, depth interpolation,
steering kernels
BibRef
Xia, Y.[Yan],
Xu, Y.S.[Yu-Sheng],
Wang, C.[Cheng],
Stilla, U.[Uwe],
VPC-Net: Completion of 3D vehicles from MLS point clouds,
PandRS(174), 2021, pp. 166-181.
Elsevier DOI
2103
Shape completion, 3D vehicle monitoring, Point clouds,
Deep learning, Urban scene
BibRef
Wu, H.[Hang],
Miao, Y.B.[Yu-Bin],
Fu, R.C.[Ruo-Chong],
Point cloud completion using multiscale feature fusion and
cross-regional attention,
IVC(111), 2021, pp. 104193.
Elsevier DOI
2106
BibRef
Earlier: A1, A2, Only:
Cross-Regional Attention Network for Point Cloud Completion,
ICPR21(10274-10280)
IEEE DOI
2105
3D vision, Point cloud completion, Conditional local feature,
Cross-regional attention.
Learning systems, Shape, Fuses,
Convolution, Maintenance engineering, Feature extraction,
cross-regional attention
BibRef
Zhao, S.S.[Shan-Shan],
Gong, M.M.[Ming-Ming],
Fu, H.[Huan],
Tao, D.C.[Da-Cheng],
Adaptive Context-Aware Multi-Modal Network for Depth Completion,
IP(30), 2021, pp. 5264-5276.
IEEE DOI
2106
Feature extraction, Convolution, Adaptation models, Laser radar,
Context modeling, Logic gates,
graph propagation
BibRef
Zhao, T.[Tao],
Pan, S.G.[Shu-Guo],
Zhang, H.[Hui],
Sun, Y.C.[Ying-Chun],
Dilated U-Block for Lightweight Indoor Depth Completion With Sobel
Edge,
SPLetters(28), 2021, pp. 1615-1619.
IEEE DOI
2108
Convolution, Feature extraction, Training, Task analysis,
Predictive models, Complexity theory, Decoding, Depth completion,
lightweight model
BibRef
Tian, F.Z.[Fang-Zheng],
Gao, Y.B.[Yong-Bin],
Fang, Z.J.[Zhi-Jun],
Gu, J.[Jia],
Yang, S.Q.[Shu-Qun],
3D reconstruction with auto-selected keyframes based on depth
completion correction and pose fusion,
JVCIR(79), 2021, pp. 103199.
Elsevier DOI
2109
3D reconstruction, Depth completion and correction,
Pose fusion estimation, Auto-selected keyframes
BibRef
Liu, Z.Y.[Zi-Yang],
Zhang, L.[Lei],
Chen, W.H.[Wei-Hai],
Wu, X.M.[Xing-Ming],
Li, Z.G.[Zheng-Guo],
S&CNet: A lightweight network for fast and accurate depth completion,
JVCIR(79), 2021, pp. 103220.
Elsevier DOI
2109
Dense depth completion, Lightweight network, Coarse-to-fine, Attention module
BibRef
Wang, F.[Fei],
Liu, Z.D.[Zhen-Dong],
Zhu, H.C.[Hong-Chun],
Wu, P.D.[Peng-Da],
A Parallel Method for Open Hole Filling in Large-Scale 3D Automatic
Modeling Based on Oblique Photography,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Wang, F.[Fei],
Zhu, H.C.[Hong-Chun],
Cai, H.L.[Hao-Lin],
Qu, W.[Wenhu],
Zhang, S.Z.[Shuai-Zhe],
Liu, Z.D.[Zhen-Dong],
A Parallel Method for Texture Reconstruction in Large-Scale 3D
Automatic Modeling Based on Oblique Photography,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Long, Y.Q.[Yang-Qi],
Yu, H.M.[Hui-Min],
Liu, B.Y.[Bi-Yang],
Depth completion towards different sensor configurations via relative
depth map estimation and scale recovery,
JVCIR(80), 2021, pp. 103272.
Elsevier DOI
2110
Depth estimation, Depth completion, Relative depth,
Scale recovery, Geometry structure
BibRef
Gofer, E.[Eyal],
Praisler, S.[Shachar],
Gilboa, G.[Guy],
Adaptive LiDAR Sampling and Depth Completion Using Ensemble Variance,
IP(30), 2021, pp. 8900-8912.
IEEE DOI
2111
Laser radar, Heuristic algorithms, Estimation,
Prediction algorithms, Image reconstruction, Noise measurement,
probability matching
BibRef
Wu, W.C.[Wei-Chao],
Xie, Z.[Zhong],
Xu, Y.Y.[Yong-Yang],
Zeng, Z.[Ziyin],
Wan, J.[Jie],
Point Projection Network: A Multi-View-Based Point Completion Network
with Encoder-Decoder Architecture,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Zhou, G.Q.[Guo-Qing],
Song, B.[Bo],
Liang, P.[Peng],
Xu, J.S.[Jia-Sheng],
Yue, T.[Tao],
Voids Filling of DEM with Multiattention Generative Adversarial
Network Model,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Wang, Y.[Yida],
Tan, D.J.[David Joseph],
Navab, N.[Nassir],
Tombari, F.[Federico],
SoftPool++: An Encoder-Decoder Network for Point Cloud Completion,
IJCV(130), No. 5, May 2022, pp. 1145-1164.
Springer DOI
2205
BibRef
Wang, D.[Di],
Tang, L.[Lulu],
Zhu, L.[Lei],
Yang, Z.X.[Zhi-Xin],
Mutual Information Maximization Based Similarity Operation for 3D
Point Cloud Completion Network,
SPLetters(29), 2022, pp. 1217-1221.
IEEE DOI
2206
Point cloud compression, Shape, Feature extraction,
Mutual information, Deep learning, Task analysis, Deep learning,
point cloud completion
BibRef
Wei, M.[Ming],
Zhu, M.[Ming],
Zhang, Y.Y.[Yao-Yuan],
Sun, J.Q.[Jia-Qi],
Wang, J.R.[Jia-Rong],
Cyclic Global Guiding Network for Point Cloud Completion,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Roldão, L.[Luis],
de Charette, R.[Raoul],
Verroust-Blondet, A.[Anne],
3D Semantic Scene Completion: A Survey,
IJCV(130), No. 8, August 2022, pp. 1978-2005.
Springer DOI
2207
BibRef
Earlier:
LMSCNet: Lightweight Multiscale 3D Semantic Completion,
3DV20(111-119)
IEEE DOI
2102
Semantics,
Convolutional codes, Task analysis, Laser radar, Sensors, Robotics
BibRef
Liu, X.[Xinpu],
Ma, Y.X.[Yan-Xin],
Xu, K.[Ke],
Wang, L.[Ling],
Wan, J.W.[Jian-Wei],
KASiam: Keypoints-Aligned Siamese Network for the Completion of
Partial TLS Point Clouds,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Lu, F.[Fan],
Chen, G.[Guang],
Li, Z.J.[Zhi-Jun],
Zhang, L.J.[Li-Jun],
Liu, Y.L.[Yin-Long],
Qu, S.Q.[San-Qing],
Knoll, A.[Alois],
MoNet: Motion-Based Point Cloud Prediction Network,
ITS(23), No. 8, August 2022, pp. 13794-13804.
IEEE DOI
2208
Point cloud compression, Feature extraction, Pipelines,
Predictive models, Trajectory, Correlation, Point cloud, prediction,
autonomous driving
BibRef
Zou, T.P.[Tian-Pei],
Chen, G.[Guang],
Lu, F.[Fan],
Li, Z.J.[Zhi-Jun],
Qu, S.Q.[San-Qing],
Knoll, A.[Alois],
Jiang, C.J.[Chang-Jun],
RPP-Net: Rigid Constrained Point Cloud Prediction Network,
ITS(24), No. 9, September 2023, pp. 9344-9354.
IEEE DOI
2310
BibRef
Gao, F.[Fang],
Shi, P.[Pengbo],
Wang, J.B.[Jia-Bao],
Li, W.B.[Wen-Bo],
Wang, Y.X.[Yao-Xiong],
Yu, J.[Jun],
Li, Y.[Yong],
Shuang, F.[Feng],
Dual feature fusion network:
A dual feature fusion network for point cloud completion,
IET-CV(16), No. 6, 2022, pp. 541-555.
DOI Link
2208
BibRef
Gao, F.[Fang],
Liu, Y.[Yong],
Shi, P.[Pengbo],
Jin, Y.[Yan],
Yu, J.[Jun],
Li, S.D.[Shao-Dong],
Dual-scale point cloud completion network based on high-frequency
feature fusion,
IVC(139), 2023, pp. 104818.
Elsevier DOI Code:
WWW Link.
2311
Point cloud, Voxel, Dual-scale, Feature fusion, Shape completion
BibRef
Hwang, S.[Sangwon],
Lee, J.[Junhyeop],
Kim, W.J.[Woo Jin],
Woo, S.[Sungmin],
Lee, K.[Kyungjae],
Lee, S.Y.[Sang-Youn],
LiDAR Depth Completion Using Color-Embedded Information via Knowledge
Distillation,
ITS(23), No. 9, September 2022, pp. 14482-14496.
IEEE DOI
2209
Laser radar, Color, Image edge detection, Training,
Convolutional neural networks, Feature extraction, Convolution,
deep convolutional neural network
BibRef
Wang, X.G.[Xiao-Gang],
Ang, M.H.[Marcelo H.],
Lee, G.H.[Gim Hee],
Cascaded Refinement Network for Point Cloud Completion With
Self-Supervision,
PAMI(44), No. 11, November 2022, pp. 8139-8150.
IEEE DOI
2210
BibRef
Earlier:
Cascaded Refinement Network for Point Cloud Completion,
CVPR20(787-796)
IEEE DOI
2008
Feature extraction, Shape, Training, Task analysis,
Supervised learning, Kernel, 3D learning, point cloud completion,
coarse-to-fine.
Shape, Generators.
BibRef
Fei, B.[Ben],
Yang, W.D.[Wei-Dong],
Ma, L.P.[Li-Peng],
Chen, W.M.[Wen-Ming],
DcTr: Noise-robust point cloud completion by dual-channel transformer
with cross-attention,
PR(133), 2023, pp. 109051.
Elsevier DOI
2210
Point cloud, 3D Vision, Transformer, Cross-attention, Dual-channel transformer
BibRef
Liu, X.P.[Xin-Pu],
Xu, G.Q.[Guo-Quan],
Xu, K.[Ke],
Wan, J.W.[Jian-Wei],
Ma, Y.X.[Yan-Xin],
Point cloud completion by dynamic transformer with adaptive
neighbourhood feature fusion,
IET-CV(16), No. 7, 2022, pp. 619-631.
DOI Link
2210
BibRef
Zhang, Y.H.[Yu-Hang],
Miao, Z.W.[Zhen-Wei],
Mi, T.[Tiebin],
Li, J.[Jie],
Qiu, R.C.[Robert C.],
Dual adversarial model: Exploring low-dimensional space features for
point clouds generating and completing,
CVIU(223), 2022, pp. 103551.
Elsevier DOI
2210
Dual adversarial model, Point cloud, Generating, Completing
BibRef
Wei, M.[Ming],
Zhu, M.[Ming],
Zhang, Y.[Yaoyuan],
Sun, J.Q.[Jia-Qi],
Wang, J.[Jiarong],
An Efficient Information-Reinforced Lidar Deep Completion Network
without RGB Guided,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
Fill in due to sparsity.
BibRef
Hao, R.D.[Rui-Dong],
Wei, Z.H.[Zhong-Hui],
He, X.[Xu],
Zhu, K.F.[Kai-Feng],
Wang, J.[Jun],
He, J.W.[Jia-Wei],
Zhang, L.[Lei],
Multistage Adaptive Point-Growth Network for Dense Point Cloud
Completion,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Wen, X.[Xin],
Xiang, P.[Peng],
Han, Z.Z.[Zhi-Zhong],
Cao, Y.P.[Yan-Pei],
Wan, P.F.[Peng-Fei],
Zheng, W.[Wen],
Liu, Y.S.[Yu-Shen],
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step
Point Moving Paths,
PAMI(45), No. 1, January 2023, pp. 852-867.
IEEE DOI
2212
BibRef
Earlier:
PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving
Paths,
CVPR21(7439-7448)
IEEE DOI
2111
Point cloud compression, Shape, Feature extraction, Task analysis,
Transformers, Representation learning, Point clouds, up-sampling.
Earth, Codes, Neural networks, Topology
BibRef
Liu, R.[Ruyu],
Zhang, G.[Guodao],
Wang, J.M.[Jiang-Ming],
Zhao, S.W.[Shu-Wen],
Cross-Modal 360° Depth Completion and Reconstruction for Large-Scale
Indoor Environment,
ITS(23), No. 12, December 2022, pp. 25180-25190.
IEEE DOI
2212
Cameras, Image reconstruction, Task analysis,
Simultaneous localization and mapping, Kernel, Estimation, dense reconstruction
BibRef
Fei, B.[Ben],
Yang, W.D.[Wei-Dong],
Chen, W.M.[Wen-Ming],
Li, Z.J.[Zhi-Jun],
Li, Y.K.[Yi-Kang],
Ma, T.[Tao],
Hu, X.[Xing],
Ma, L.P.[Li-Peng],
Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion
Processing and Analysis,
ITS(23), No. 12, December 2022, pp. 22862-22883.
IEEE DOI
2212
Point cloud compression, Solid modeling, Shape, Task analysis,
Laser radar, Deep learning, Deep learning, point cloud, completion, 3D vision
BibRef
Zhang, Q.[Quan],
Chen, X.Y.[Xiao-Yu],
Wang, X.G.[Xing-Guo],
Han, J.[Jing],
Zhang, Y.[Yi],
Yue, J.[Jiang],
Self-Supervised Depth Completion Based on Multi-Modal Spatio-Temporal
Consistency,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Tan, L.[Lei],
Lin, X.[Xue],
Niu, D.M.[Dong-Mei],
Wang, D.[Daole],
Yin, M.[Miao],
Zhao, X.[Xiuyang],
Projected Generative Adversarial Network for Point Cloud Completion,
CirSysVideo(33), No. 2, February 2023, pp. 771-781.
IEEE DOI
2302
Point cloud compression, Feature extraction, Shape, Task analysis,
Skeleton, Cameras, Point cloud completion, deep learning
BibRef
Lopez-Rodriguez, A.[Adrian],
Busam, B.[Benjamin],
Mikolajczyk, K.[Krystian],
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and
Sparse Sensor Data,
IJCV(131), No. 3, March 2023, pp. 796-812.
Springer DOI
2302
BibRef
Earlier:
ACCV20(I:330-348).
Springer DOI
2103
BibRef
Lopez-Rodriguez, A.[Adrian],
Mikolajczyk, K.[Krystian],
DESC: Domain Adaptation for Depth Estimation via Semantic Consistency,
IJCV(131), No. 3, March 2023, pp. 752-771.
Springer DOI
2302
BibRef
Zhang, C.L.[Chun-Lan],
Lin, C.Y.[Chun-Yu],
Liao, K.[Kang],
Huang, S.J.[Shu-Juan],
Zhao, Y.[Yao],
Monocular Pseudo-LiDAR Point Cloud Extrapolation Based on Iterative
Hybrid Rendering,
ITS(24), No. 3, March 2023, pp. 2814-2826.
IEEE DOI
2303
Point cloud compression, Extrapolation, Cameras, Laser radar,
Rendering (computer graphics), Task analysis, Monocular, multiplane images
BibRef
Xiang, P.[Peng],
Wen, X.[Xin],
Liu, Y.S.[Yu-Shen],
Cao, Y.P.[Yan-Pei],
Wan, P.F.[Peng-Fei],
Zheng, W.[Wen],
Han, Z.Z.[Zhi-Zhong],
Snowflake Point Deconvolution for Point Cloud Completion and
Generation With Skip-Transformer,
PAMI(45), No. 5, May 2023, pp. 6320-6338.
IEEE DOI
2304
BibRef
Earlier:
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution
with Skip-Transformer,
ICCV21(5479-5489)
IEEE DOI
2203
Point cloud compression, Shape,
Task analysis, Decoding, Transformers, Image reconstruction, transformer.
Geometry, Solid modeling, Deconvolution,
Codes, Stereo, 3D from multiview and other sensors,
3D from a single image and shape-from-x
BibRef
Wen, X.[Xin],
Li, T.Y.[Tian-Yang],
Han, Z.Z.[Zhi-Zhong],
Liu, Y.S.[Yu-Shen],
Point Cloud Completion by Skip-Attention Network With Hierarchical
Folding,
CVPR20(1936-1945)
IEEE DOI
2008
Shape, Decoding, Feature extraction,
Geometry
BibRef
Xi, L.[Long],
Tang, W.[Wen],
Wan, T.[TaoRuan],
TreeNet: Structure preserving multi-class 3D point cloud completion,
PR(139), 2023, pp. 109476.
Elsevier DOI
2304
3D Point cloud completion, Multi-class training,
Hierarchical tree, Artificial intelligence, Deep learning
BibRef
Ibrahim, Y.[Yahya],
Benedek, C.[Csaba],
MVPCC-Net: Multi-View Based Point Cloud Completion Network for MLS
data,
IVC(134), 2023, pp. 104675.
Elsevier DOI
2305
Multi-view, 3D point cloud completion, Deep learning, Mobile laser scanning
BibRef
Hu, J.J.[Jun-Jie],
Bao, C.Y.[Chen-Yu],
Ozay, M.[Mete],
Fan, C.Y.[Chen-You],
Gao, Q.[Qing],
Liu, H.H.[Hong-Hai],
Lam, T.L.[Tin Lun],
Deep Depth Completion From Extremely Sparse Data: A Survey,
PAMI(45), No. 7, July 2023, pp. 8244-8264.
IEEE DOI
2306
Taxonomy, Task analysis, Feature extraction, Laser radar,
Robot sensing systems, Deep learning, Depth Completion,
spatial propagation network
BibRef
Xu, M.[Mingye],
Wang, Y.[Yali],
Liu, Y.H.[Yi-Hao],
He, T.[Tong],
Qiao, Y.[Yu],
CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict
Paradigm,
PAMI(45), No. 8, August 2023, pp. 9583-9594.
IEEE DOI
2307
Point cloud compression, Semantics, Shape, Task analysis, Modulation,
Training, Point cloud completion, prompting,
semantic refinement
BibRef
Xu, M.Y.[Ming-Ye],
Zhou, Z.P.[Zhi-Peng],
Xu, H.B.[Hong-Bin],
Qiao, Y.[Yu],
Wang, Y.[Yali],
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised
Point Cloud Learning,
MultMed(26), 2024, pp. 8799-8810.
IEEE DOI
2408
Point cloud compression, Semantics, Feature extraction,
Task analysis, Vectors, Geometry, 3D point cloud analysis,
unsupervised learning
BibRef
Qian, R.[Ren],
Qiu, W.F.[Wen-Feng],
Yang, W.[Wenbang],
Li, J.H.[Jian-Hua],
Wu, Y.[Yun],
Feng, R.[Renyang],
Wang, X.[Xinan],
Zhao, Y.[Yong],
Depth Information Precise Completion-GAN: A Precisely Guided Method
for Completing Ill Regions in Depth Maps,
RS(15), No. 14, 2023, pp. 3686.
DOI Link
2307
BibRef
Zhang, S.P.[Sheng-Ping],
Liu, X.Z.[Xian-Zhu],
Xie, H.Z.[Hao-Zhe],
Nie, L.Q.[Li-Qiang],
Zhou, H.Y.[Hui-Yu],
Tao, D.C.[Da-Cheng],
Li, X.L.[Xue-Long],
Learning Geometric Transformation for Point Cloud Completion,
IJCV(131), No. 9, September 2023, pp. 2425-2445.
Springer DOI
2308
BibRef
Pan, L.[Liang],
Chen, X.Y.[Xin-Yi],
Cai, Z.A.[Zhong-Ang],
Zhang, J.Z.[Jun-Zhe],
Zhao, H.[Haiyu],
Yi, S.[Shuai],
Liu, Z.W.[Zi-Wei],
Variational Relational Point Completion Network for Robust 3D
Classification,
PAMI(45), No. 9, September 2023, pp. 11340-11351.
IEEE DOI
2309
BibRef
Earlier:
Variational Relational Point Completion Network,
CVPR21(8520-8529)
IEEE DOI
2111
Training, Solid modeling, Shape, Probabilistic logic, Skeleton, Robustness
BibRef
Zhang, Z.X.[Zhao-Xuan],
Han, X.G.[Xiao-Guang],
Dong, B.[Bo],
Li, T.[Tong],
Yin, B.C.[Bao-Cai],
Yang, X.[Xin],
Point Cloud Scene Completion With Joint Color and Semantic Estimation
From Single RGB-D Image,
PAMI(45), No. 9, September 2023, pp. 11079-11095.
IEEE DOI
2309
BibRef
Han, X.G.[Xiao-Guang],
Zhang, Z.X.[Zhao-Xuan],
Du, D.[Dong],
Yang, M.D.[Ming-Dai],
Yu, J.M.[Jing-Ming],
Pan, P.[Pan],
Yang, X.[Xin],
Liu, L.G.[Li-Gang],
Xiong, Z.X.[Zi-Xiang],
Cui, S.G.[Shu-Guang],
Deep Reinforcement Learning of Volume-Guided Progressive View
Inpainting for 3D Point Scene Completion From a Single Depth Image,
CVPR19(234-243).
IEEE DOI
2002
BibRef
Xu, J.[Jiabo],
Wan, Z.Y.[Ze-Yun],
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Completing point clouds using structural constraints for large-scale
points absence in 3D building reconstruction,
PandRS(204), 2023, pp. 163-183.
Elsevier DOI
2310
Point cloud, Façade completion, Data refinement,
Building structure, Cloth simulation
BibRef
Xiong, M.[Mingkang],
Zhang, Z.H.[Zheng-Hong],
Liu, J.Y.[Ji-Yuan],
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Xiong, H.L.[Hui-Lin],
Self-supervised depth completion with multi-view geometric
constraints,
IET-IPR(17), No. 11, 2023, pp. 3095-3105.
DOI Link
2310
sensor fusion, unsupervised learning
BibRef
Chen, G.C.[Guan-Cheng],
Lin, J.L.[Jun-Li],
Qin, H.B.[Hua-Biao],
UAMD-Net: A Unified Adaptive Multimodal Neural Network for Dense
Depth Completion,
CirSysVideo(33), No. 10, October 2023, pp. 5406-5419.
IEEE DOI
2310
BibRef
Xiao, H.H.[Hai-Hong],
Li, Y.Q.[Yu-Qiong],
Kang, W.X.[Wen-Xiong],
Wu, Q.X.[Qiu-Xia],
Distinguishing and Matching-Aware Unsupervised Point Cloud Completion,
CirSysVideo(33), No. 9, September 2023, pp. 5160-5173.
IEEE DOI
2310
BibRef
Yu, X.[Xumin],
Rao, Y.M.[Yong-Ming],
Wang, Z.Y.[Zi-Yi],
Lu, J.W.[Ji-Wen],
Zhou, J.[Jie],
AdaPoinTr: Diverse Point Cloud Completion With Adaptive
Geometry-Aware Transformers,
PAMI(45), No. 12, December 2023, pp. 14114-14130.
IEEE DOI
2311
BibRef
Yu, X.[Xumin],
Rao, Y.M.[Yong-Ming],
Wang, Z.[Ziyi],
Liu, Z.[Zuyan],
Lu, J.W.[Ji-Wen],
Zhou, J.[Jie],
PoinTr: Diverse Point Cloud Completion with Geometry-Aware
Transformers,
ICCV21(12478-12487)
IEEE DOI
2203
Point cloud compression, Technological innovation,
Solid modeling, Computational modeling,
3D from multiview and other sensors
BibRef
Zhang, Z.X.[Zhen-Xin],
Leng, S.[Siyi],
Zhang, L.Q.[Li-Qiang],
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PandRS(206), 2023, pp. 118-131.
Elsevier DOI Code:
WWW Link.
2312
Point cloud completion, Indoor objects, Conditional GAN,
GAN inversion, Cross domain, Deep learning
BibRef
Wei, M.[Ming],
Sun, J.Q.[Jia-Qi],
Zhang, Y.[Yaoyuan],
Zhu, M.[Ming],
Nie, H.T.[Hai-Tao],
Liu, H.Y.[Hui-Ying],
Wang, J.[Jiarong],
A Partial Point Cloud Completion Network Focusing on Detail
Reconstruction,
RS(15), No. 23, 2023, pp. 5504.
DOI Link
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BibRef
Li, J.[Jie],
Song, Q.[Qi],
Yan, X.H.[Xiao-Hu],
Chen, Y.Q.[Yong-Quan],
Huang, R.[Rui],
From Front to Rear: 3D Semantic Scene Completion Through Planar
Convolution and Attention-Based Network,
MultMed(25), 2023, pp. 8294-8307.
IEEE DOI
2312
BibRef
Zhao, L.Q.[Lin-Qing],
Wei, Y.[Yi],
Li, J.X.[Jia-Xin],
Zhou, J.[Jie],
Lu, J.W.[Ji-Wen],
Structure-Aware Cross-Modal Transformer for Depth Completion,
IP(33), 2024, pp. 1016-1031.
IEEE DOI
2402
Three-dimensional displays, Feature extraction, Transformers,
Task analysis, Image color analysis, Solid modeling, Shape, transformer
BibRef
Wang, Y.F.[Yu-Fei],
Mao, Y.X.[Yu-Xin],
Liu, Q.[Qi],
Dai, Y.C.[Yu-Chao],
Decomposed Guided Dynamic Filters for Efficient RGB-Guided Depth
Completion,
CirSysVideo(34), No. 2, February 2024, pp. 1186-1198.
IEEE DOI
2402
Convolution, Information filters, Task analysis, Adaptation models,
Standards, Computational modeling, Costs, Depth completion,
feature fusion
BibRef
Chen, S.L.[Sheng-Lun],
Ye, X.C.[Xin-Chen],
Zhang, H.[Hong],
Li, H.J.[Hao-Jie],
Wang, Z.H.[Zhi-Hui],
CustomDepth: Customizing point-wise depth categories for depth
completion,
PRL(179), 2024, pp. 172-177.
Elsevier DOI
2403
Depth completion, Depth subdivision, Binary classification, Image subdivision
BibRef
Li, T.[Tao],
Dong, X.[Xiucheng],
Lin, J.[Jie],
Peng, Y.H.[Yong-Hong],
A transformer-CNN parallel network for image guided depth completion,
PR(150), 2024, pp. 110305.
Elsevier DOI
2403
Depth completion, Convolutional neural network, Transformer,
Token correlation, Conditional random field
BibRef
An, P.[Pei],
Zhu, D.[Di],
Quan, S.[Siwen],
Ding, J.F.[Jun-Feng],
Ma, J.[Jie],
Yang, Y.[You],
Liu, Q.[Qiong],
ESC-Net: Alleviating Triple Sparsity on 3D LiDAR Point Clouds for
Extreme Sparse Scene Completion,
MultMed(26), 2024, pp. 6799-6810.
IEEE DOI
2404
Task analysis, Laser radar, Point cloud compression,
Laser beams, Mobile robots, Decoding, multi-task learning
BibRef
Zhao, L.Q.[Lin-Qing],
Zheng, W.Z.[Wen-Zhao],
Duan, Y.[Yueqi],
Zhou, J.[Jie],
Lu, J.W.[Ji-Wen],
SPTR: Structure-Preserving Transformer for Unsupervised Indoor Depth
Completion,
CirSysVideo(34), No. 4, April 2024, pp. 2439-2452.
IEEE DOI
2404
Estimation, Image reconstruction, Task analysis, Training, Encoding,
Transformers, Depth completion, structure learning
BibRef
Lin, Y.K.[Yuan-Kai],
Yang, H.[Hua],
Cheng, T.[Tao],
Zhou, W.D.[Wen-Ding],
Yin, Z.P.[Zhou-Ping],
DySPN: Learning Dynamic Affinity for Image-Guided Depth Completion,
CirSysVideo(34), No. 6, June 2024, pp. 4596-4609.
IEEE DOI Code:
WWW Link.
2406
Task analysis, Kernel, Filtering, Sparse matrices, Image edge detection,
Mathematical models, Depth completion, multimodal fusion
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Zhang, X.[Xuanmeng],
Zheng, Z.[Zhedong],
Jiang, M.[Minyue],
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PR(154), 2024, pp. 110618.
Elsevier DOI
2406
Depth completion, Semi-supervised learning,
Density-aware consistency, Uncertainty estimation
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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
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Xiao, H.H.[Hai-Hong],
Xu, H.B.[Hong-Bin],
Kang, W.X.[Wen-Xiong],
Li, Y.Q.[Yu-Qiong],
Instance-Aware Monocular 3D Semantic Scene Completion,
ITS(25), No. 7, July 2024, pp. 6543-6554.
IEEE DOI
2407
Semantics, Task analysis, Shape, Geometry, Feature extraction,
Laser radar, 3D scene understanding, semantic scene completion, 3D vision
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Liang, L.[Li],
Akhtar, N.[Naveed],
Vice, J.[Jordan],
Mian, A.[Ajmal],
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RS(16), No. 13, 2024, pp. 2266.
DOI Link
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BibRef
Chen, S.L.[Sheng-Lun],
Zhang, H.[Hong],
Ma, X.Z.[Xin-Zhu],
Wang, Z.H.[Zhi-Hui],
Li, H.J.[Hao-Jie],
Learning Pixel-Wise Continuous Depth Representation via Clustering
for Depth Completion,
CirSysVideo(34), No. 7, July 2024, pp. 6303-6317.
IEEE DOI
2407
Transformers, Feature extraction, Logistics, Estimation,
Task analysis, Kernel, Depth completion, offset estimation
BibRef
Hayler, A.[Adrian],
Wimbauer, F.[Felix],
Muhle, D.[Dominik],
Rupprecht, C.[Christian],
Cremers, D.[Daniel],
S4C: Self-Supervised Semantic Scene Completion With Neural Fields,
3DV24(409-420)
IEEE DOI
2408
Training, Image segmentation, Navigation, Semantics,
Rendering (computer graphics), Sensors, machine learning, kitti-360
BibRef
Xiao, Y.[Yu],
Chen, Y.S.[Yi-Sheng],
Chen, C.C.[Chong-Cheng],
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GSSnowflake: Point Cloud Completion by Snowflake with Grouped Vector
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RS(16), No. 17, 2024, pp. 3127.
DOI Link
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BibRef
Bartolomei, L.[Luca],
Poggi, M.[Matteo],
Conti, A.[Andrea],
Tosi, F.[Fabio],
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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
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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
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ICCV23(8819-8828)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wang, Y.F.[Yu-Fei],
Li, B.[Bo],
Zhang, G.[Ge],
Liu, Q.[Qi],
Gao, T.[Tao],
Dai, Y.C.[Yu-Chao],
LRRU: Long-short Range Recurrent Updating Networks for Depth
Completion,
ICCV23(9388-9398)
IEEE DOI Code:
WWW Link.
2401
BibRef
Yao, J.W.[Jia-Wei],
Li, C.[Chuming],
Sun, K.Q.[Ke-Qiang],
Cai, Y.J.[Ying-Jie],
Li, H.[Hao],
Ouyang, W.L.[Wan-Li],
Li, H.S.[Hong-Sheng],
NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized
Device Coordinates Space,
ICCV23(9421-9431)
IEEE DOI Code:
WWW Link.
2401
BibRef
Fu, Z.H.[Zhi-Heng],
Wang, L.G.[Long-Guang],
Xu, L.[Lian],
Wang, Z.Y.[Zhi-Yong],
Laga, H.[Hamid],
Guo, Y.L.[Yu-Lan],
Boussaid, F.[Farid],
Bennamoun, M.[Mohammed],
VAPCNet: Viewpoint-Aware 3D Point Cloud Completion,
ICCV23(12074-12084)
IEEE DOI Code:
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2401
BibRef
Kim, J.[Jihun],
Kwon, H.[Hyeokjun],
Yang, Y.[Yunseo],
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Learning Point Cloud Completion without Complete Point Clouds:
A Pose-Aware Approach,
ICCV23(14157-14167)
IEEE DOI
2401
BibRef
Cui, R.[Ruikai],
Qiu, S.[Shi],
Anwar, S.[Saeed],
Liu, J.W.[Jia-Wei],
Xing, C.[Chaoyue],
Zhang, J.[Jing],
Barnes, N.M.[Nick M.],
P2C: Self-Supervised Point Cloud Completion from Single Partial
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ICCV23(14305-14314)
IEEE DOI Code:
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2401
BibRef
Lin, F.Z.[Fang-Zhou],
Yue, Y.[Yun],
Hou, S.[Songlin],
Yu, X.[Xuechu],
Xu, Y.J.[Ya-Jun],
Yamada, K.D.[Kazunori D],
Zhang, Z.M.[Zi-Ming],
Hyperbolic Chamfer Distance for Point Cloud Completion,
ICCV23(14549-14560)
IEEE DOI Code:
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2401
BibRef
Li, H.A.[Hao-Ang],
Dong, J.[Jinhu],
Wen, B.H.[Bing-Hui],
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Liu, Y.H.[Yun-Hui],
Cremers, D.[Daniel],
DDIT: Semantic Scene Completion via Deformable Deep Implicit
Templates,
ICCV23(21837-21847)
IEEE DOI
2401
BibRef
Dong, H.T.[Hao-Tian],
Ma, E.[Enhui],
Wang, L.[Lubo],
Wang, M.[Miaohui],
Xie, W.[Wuyuan],
Guo, Q.[Qing],
Li, P.[Ping],
Liang, L.[Lingyu],
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CVSformer: Cross-View Synthesis Transformer for Semantic Scene
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ICCV23(8840-8849)
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2401
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Ramachandran, A.[Akshat],
Dhiman, A.[Ankit],
Vandrotti, B.S.[Basavaraja Shanthappa],
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ICIP23(905-909)
IEEE DOI
2312
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Fu, R.C.[Ruo-Chong],
Wu, H.[Hang],
Hao, M.X.[Meng-Xiang],
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ICIP23(3369-3373)
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2312
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Misik, A.[Adam],
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ICIP23(580-584)
IEEE DOI
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Ran, W.H.[Wei-Hang],
Yuan, W.[Wei],
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Few-Shot Depth Completion Using Denoising Diffusion Probabilistic
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PCV23(6559-6567)
IEEE DOI
2309
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Krishna, S.[Sriram],
Vandrotti, B.S.[Basavaraja Shanthappa],
DeepSmooth: Efficient and Smooth Depth Completion,
VOCVALC23(3358-3367)
IEEE DOI
2309
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Chen, Z.K.[Zhi-Kai],
Long, F.C.[Fu-Chen],
Qiu, Z.F.[Zhao-Fan],
Yao, T.[Ting],
Zhou, W.G.[Wen-Gang],
Luo, J.B.[Jie-Bo],
Mei, T.[Tao],
AnchorFormer: Point Cloud Completion from Discriminative Nodes,
CVPR23(13581-13590)
IEEE DOI
2309
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Wu, Y.S.[Yu-Shuang],
Yan, Z.Z.[Zi-Zheng],
Chen, C.[Ce],
Wei, L.[Lai],
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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
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Xia, Z.Y.[Zhao-Yang],
Liu, Y.[Youquan],
Li, X.[Xin],
Zhu, X.G.[Xin-Ge],
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SCPNet: Semantic Scene Completion on Point Cloud,
CVPR23(17642-17651)
IEEE DOI
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Zhang, Y.[Youmin],
Guo, X.[Xianda],
Poggi, M.[Matteo],
Zhu, Z.[Zheng],
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CompletionFormer: Depth Completion with Convolutions and Vision
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CVPR23(18527-18536)
IEEE DOI
2309
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Ma, C.F.[Chang-Feng],
Chen, Y.[Yinuo],
Guo, P.X.[Peng-Xiao],
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Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene
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CVPR23(13560-13569)
IEEE DOI
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Wang, F.Y.[Feng-Yun],
Zhang, D.[Dong],
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Semantic Scene Completion with Cleaner Self,
CVPR23(867-877)
IEEE DOI
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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
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Cheng, Y.C.[Yen-Chi],
Lee, H.Y.[Hsin-Ying],
Tulyakov, S.[Sergey],
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SDFusion: Multimodal 3D Shape Completion, Reconstruction, and
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CVPR23(4456-4465)
IEEE DOI
2309
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Zhang, J.M.[Jun-Ming],
Zhang, H.M.[Hao-Meng],
Vasudevan, R.[Ram],
Johnson-Roberson, M.[Matthew],
Hyperspherical Embedding for Point Cloud Completion,
CVPR23(5323-5332)
IEEE DOI
2309
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Bokhovkin, A.[Aleksei],
Dai, A.[Angela],
Neural Part Priors: Learning to Optimize Part-Based Object Completion
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CVPR23(9032-9042)
IEEE DOI
2309
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Li, Y.M.[Yi-Ming],
Yu, Z.[Zhiding],
Choy, C.[Christopher],
Xiao, C.W.[Chao-Wei],
Alvarez, J.M.[Jose M.],
Fidler, S.[Sanja],
Feng, C.[Chen],
Anandkumar, A.[Anima],
VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic
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CVPR23(9087-9098)
IEEE DOI
2309
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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
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Li, S.S.[Shan-Shan],
Gao, P.[Pan],
Tan, X.Y.[Xiao-Yang],
Wei, M.Q.[Ming-Qiang],
ProxyFormer: Proxy Alignment Assisted Point Cloud Completion with
Missing Part Sensitive Transformer,
CVPR23(9466-9475)
IEEE DOI
2309
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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
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Lee, Y.J.[Yong-Jin],
Park, S.[Seokjun],
Kang, B.[Beomgu],
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ACCV22(III:593-607).
Springer DOI
2307
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Achaibou, A.[Amina],
Sanmartín-Vich, N.[Nofre],
Pla, F.[Filiberto],
Calpe, J.[Javier],
Guided Depth Completion Using Active Infrared Images in Time of Flight
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Springer DOI
2307
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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
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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
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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,
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Springer DOI
2304
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Taguchi, K.[Kensuke],
Morita, S.[Shogo],
Hayashi, Y.[Yusuke],
Imaeda, W.[Wataru],
Fujiyoshi, H.[Hironobu],
Uncertainty-Aware Interactive LiDAR Sampling for Deep Depth
Completion,
WACV23(3027-3035)
IEEE DOI
2302
Adaptation models, Laser radar, Uncertainty,
Computational modeling, Estimation, Sampling methods, 3D computer vision
BibRef
Ramesh, A.N.[Avinash Nittur],
Giovanneschi, F.[Fabio],
González-Huici, M.A.[María A.],
SIUNet: Sparsity Invariant U-Net for Edge-Aware Depth Completion,
WACV23(5807-5816)
IEEE DOI
2302
Training, Laser radar, Image edge detection, Network architecture,
Sensor systems, Task analysis, visual reasoning
BibRef
Conti, A.[Andrea],
Poggi, M.[Matteo],
Mattoccia, S.[Stefano],
Sparsity Agnostic Depth Completion,
WACV23(5860-5869)
IEEE DOI
2302
Training, Benchmark testing, Robustness, Standards,
Algorithms: 3D computer vision, Computational photography, visual reasoning
BibRef
Hirner, D.[Dominik],
Fraundorfer, F.[Friedrich],
FCDSN-DC: An Accurate and Lightweight Convolutional Neural Network
for Stereo Estimation with Depth Completion,
ICPR22(3937-3943)
IEEE DOI
2212
Training, Codes, Convolution, Estimation, Feature extraction, Filling
BibRef
Yang, S.W.[Shu-Wen],
Xiao, L.[Luwei],
Zhang, J.H.[Jun-Hang],
Fu, Z.C.[Zhi-Chao],
Ma, T.L.[Tian-Long],
He, L.[Liang],
Depth Completion via A Dual-Fusion Method,
ICPR22(3686-3691)
IEEE DOI
2212
Shape, Convolution, Semantics, Image representation,
Feature extraction, Data mining
BibRef
Wu, M.X.[Meng-Xi],
Huang, H.[Hao],
Fang, Y.[Yi],
3D Point Cloud Completion with Geometric-Aware Adversarial
Augmentation,
ICPR22(4001-4007)
IEEE DOI
2212
Point cloud compression, Training,
Shape, Perturbation methods, Neural networks, 3D Point Cloud Completion
BibRef
Sun, B.[Bo],
Kim, V.G.[Vladimir G.],
Aigerman, N.[Noam],
Huang, Q.X.[Qi-Xing],
Chaudhuri, S.[Siddhartha],
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval
and Deformation,
ECCV22(III:503-522).
Springer DOI
2211
BibRef
Kam, J.W.[Jae-Won],
Kim, J.[Jungeon],
Kim, S.[Soongjin],
Park, J.[Jaesik],
Lee, S.Y.[Seung-Yong],
CostDCNet: Cost Volume Based Depth Completion for a Single RGB-D Image,
ECCV22(II:257-274).
Springer DOI
2211
BibRef
Liu, T.Y.[Tian Yu],
Agrawal, P.[Parth],
Chen, A.[Allison],
Hong, B.W.[Byung-Woo],
Wong, A.[Alex],
Monitored Distillation for Positive Congruent Depth Completion,
ECCV22(II:35-53).
Springer DOI
2211
BibRef
Gong, J.Y.[Jing-Yu],
Liu, F.Q.[Feng-Qi],
Xu, J.C.[Jia-Chen],
Wang, M.[Min],
Tan, X.[Xin],
Zhang, Z.Z.[Zhi-Zhong],
Yi, R.[Ran],
Song, H.[Haichuan],
Xie, Y.[Yuan],
Ma, L.Z.[Li-Zhuang],
Optimization over Disentangled Encoding: Unsupervised Cross-Domain
Point Cloud Completion via Occlusion Factor Manipulation,
ECCV22(II:517-533).
Springer DOI
2211
BibRef
Yan, X.J.[Xue-Jun],
Yan, H.Y.[Hong-Yu],
Wang, J.J.[Jing-Jing],
Du, H.[Hang],
Wu, Z.H.[Zhi-Hong],
Xie, D.[Di],
Pu, S.L.[Shi-Liang],
Lu, L.[Li],
FBNet: Feedback Network for Point Cloud Completion,
ECCV22(II:676-693).
Springer DOI
2211
BibRef
Zhou, H.R.[Hao-Ran],
Cao, Y.[Yun],
Chu, W.Q.[Wen-Qing],
Zhu, J.W.[Jun-Wei],
Lu, T.[Tong],
Tai, Y.[Ying],
Wang, C.J.[Cheng-Jie],
SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample
Transformer,
ECCV22(III:416-432).
Springer DOI
2211
BibRef
Mok, Y.[Yeongheon],
Kim, M.[Mingi],
Kim, H.[Heegwang],
Paik, J.[Joonki],
Point Cloud Completion By Minimizing Prediction Errors In Both 2D And
3D Spaces,
ICIP22(3171-3175)
IEEE DOI
2211
Point cloud compression, Deep learning, Learning systems,
Semantics, Point cloud completion, Geometry-aware deep learning, Projection loss
BibRef
Ghosh, K.[Krishnendu],
Kar, A.[Aupendu],
Bhattacharya, S.[Saumik],
Sen, D.[Debashis],
Biswas, P.K.[Prabir Kumar],
Multi-Latent GAN Inversion for Unsupervised 3D Shape Completion,
ICIP22(3460-3464)
IEEE DOI
2211
Point cloud compression, Geometry, Codes, Shape,
Generative adversarial networks, Image reconstruction,
unsupervised learning
BibRef
Yan, Z.Q.[Zhi-Qiang],
Li, X.[Xiang],
Wang, K.[Kun],
Zhang, Z.Y.[Zhen-Yu],
Li, J.[Jun],
Yang, J.[Jian],
Multi-modal Masked Pre-training for Monocular Panoramic Depth
Completion,
ECCV22(I:378-395).
Springer DOI
2211
BibRef
Yan, Z.Q.[Zhi-Qiang],
Wang, K.[Kun],
Li, X.[Xiang],
Zhang, Z.Y.[Zhen-Yu],
Li, J.[Jun],
Yang, J.[Jian],
RigNet: Repetitive Image Guided Network for Depth Completion,
ECCV22(XXVII:214-230).
Springer DOI
2211
BibRef
Liu, X.[Xin],
Shao, X.F.[Xiao-Fei],
Wang, B.[Bo],
Li, Y.[Yali],
Wang, S.J.[Sheng-Jin],
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs,
ECCV22(XXXIII:90-107).
Springer DOI
2211
BibRef
Hsu, H.[Hao],
Su, H.T.[Hung-Ting],
Yeh, J.F.[Jia-Fong],
Chung, C.M.[Chi-Ming],
Hsu, W.H.[Winston H.],
SeqDNet: Improving Missing Value by Sequential Depth Network,
ICIP22(1826-1830)
IEEE DOI
2211
Costs, Image edge detection, Estimation, Performance gain, Filling,
Object recognition, Depth Estimation, Depth Completion, Sequence Model
BibRef
Yang, S.W.[Shu-Wen],
Fu, Z.C.[Zhi-Chao],
Wu, X.J.[Xing-Jiao],
Du, X.C.[Xiang-Cheng],
Ma, T.L.[Tian-Long],
He, L.[Liang],
3D Clues Guided Convolution for Depth Completion,
ICIP22(2132-2136)
IEEE DOI
2211
Image color analysis, Convolution, Semantics, Color,
Feature extraction, Generators, Depth completion, network architecture
BibRef
Cai, Y.J.[Ying-Jie],
Lin, K.Y.[Kwan-Yee],
Zhang, C.[Chao],
Wang, Q.[Qiang],
Wang, X.G.[Xiao-Gang],
Li, H.S.[Hong-Sheng],
Learning a Structured Latent Space for Unsupervised Point Cloud
Completion,
CVPR22(5533-5543)
IEEE DOI
2210
Point cloud compression, Geometry, Codes, Shape, Fuses, Encoding,
3D from multi-view and sensors, Self- semi- meta- unsupervised learning
BibRef
Wang, H.W.[Hao-Wen],
Wang, M.Y.[Ming-Yuan],
Che, Z.P.[Zheng-Ping],
Xu, Z.Y.[Zhi-Yuan],
Qiao, X.Q.[Xiu-Quan],
Qi, M.S.[Meng-Shi],
Feng, F.F.[Fei-Fei],
Tang, J.[Jian],
RGB-Depth Fusion GAN for Indoor Depth Completion,
CVPR22(6199-6208)
IEEE DOI
2210
Training, Head, Fuses, Generative adversarial networks,
Sampling methods, Sensors, 3D from multi-view and sensors
BibRef
Yan, X.G.[Xing-Guang],
Lin, L.Q.[Li-Qiang],
Mitra, N.J.[Niloy J.],
Lischinski, D.[Dani],
Cohen-Or, D.[Daniel],
Huang, H.[Hui],
ShapeFormer: Transformer-based Shape Completion via Sparse
Representation,
CVPR22(6229-6239)
IEEE DOI
2210
Point cloud compression, Limiting, Shape,
Diversity methods, 3D from multi-view and sensors, Vision+graphics
BibRef
Rho, K.[Kyeongha],
Ha, J.[Jinsung],
Kim, Y.[Youngjung],
GuideFormer: Transformers for Image Guided Depth Completion,
CVPR22(6240-6249)
IEEE DOI
2210
Visualization, Image color analysis, Stacking,
Color, Transformers, Feature extraction,
Robot vision
BibRef
Sun, Y.Q.[Yu-Qi],
Zhou, S.[Shili],
Cheng, R.[Ri],
Tan, W.M.[Wei-Min],
Yan, B.[Bo],
Fu, L.[Lang],
Learning Robust Image-Based Rendering on Sparse Scene Geometry via
Depth Completion,
CVPR22(7803-7813)
IEEE DOI
2210
Geometry, Correlation, Rendering (computer graphics),
Pattern recognition, Image reconstruction,
Vision + graphics
BibRef
Jiang, X.W.[Xiao-Wen],
Cambareri, V.[Valerio],
Agresti, G.[Gianluca],
Ugwu, C.I.[Cynthia Ifeyinwa],
Simonetto, A.[Adriano],
Cardinaux, F.[Fabien],
Zanuttigh, P.[Pietro],
A Low Memory Footprint Quantized Neural Network for Depth Completion
of Very Sparse Time-of-Flight Depth Maps,
ECV22(2686-2695)
IEEE DOI
2210
Measurement, Training, Lighting, Graphics processing units, Sensors,
Task analysis
BibRef
Cao, A.Q.[Anh-Quan],
de Charette, R.[Raoul],
MonoScene: Monocular 3D Semantic Scene Completion,
CVPR22(3981-3991)
IEEE DOI
2210
Optical losses, Geometry, Codes, Computational modeling, Semantics,
3D from single images, 3D from multi-view and sensors,
Scene analysis and understanding
BibRef
Wu, X.P.[Xiao-Pei],
Peng, L.[Liang],
Yang, H.H.[Hong-Hui],
Xie, L.[Liang],
Huang, C.X.[Chen-Xi],
Deng, C.Q.[Cheng-Qi],
Liu, H.F.[Hai-Feng],
Cai, D.[Deng],
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth
Completion,
CVPR22(5408-5417)
IEEE DOI
2210
Point cloud compression, Fuses, Image color analysis, Convolution,
Design methodology, Object detection, Recognition: detection,
Scene analysis and understanding
BibRef
Mittal, P.[Paritosh],
Cheng, Y.C.[Yen-Chi],
Singh, M.[Maneesh],
Tulsiani, S.[Shubham],
AutoSDF: Shape Priors for 3D Completion, Reconstruction and
Generation,
CVPR22(306-315)
IEEE DOI
2210
Legged locomotion, Solid modeling, Shape, Data visualization,
Machine learning, Image representation, Machine learning,
Vision+language
BibRef
Wang, Y.[Yida],
Tan, D.J.[David Joseph],
Navab, N.[Nassir],
Tombari, F.[Federico],
Learning Local Displacements for Point Cloud Completion,
CVPR22(1558-1567)
IEEE DOI
2210
Point cloud compression, Shape, Semantics,
Feature extraction, Transformers, 3D from single images,
grouping and shape analysis
BibRef
Tang, J.[Junshu],
Gong, Z.J.[Zhi-Jun],
Yi, R.[Ran],
Xie, Y.[Yuan],
Ma, L.Z.[Li-Zhuang],
LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned
Keypoints,
CVPR22(1716-1725)
IEEE DOI
2210
Point cloud compression, Location awareness, Shape, Detectors,
Predictive models, Skeleton, RGBD sensors and analytics,
3D from multi-view and sensors
BibRef
Wang, H.C.[Han-Chen],
Liu, Q.[Qi],
Yue, X.Y.[Xiang-Yu],
Lasenby, J.[Joan],
Kusner, M.J.[Matt J.],
Unsupervised Point Cloud Pre-training via Occlusion Completion,
ICCV21(9762-9772)
IEEE DOI
2203
Point cloud compression, Codes, Semantics, Cameras, Task analysis,
Representation learning, Vision for robotics and autonomous vehicles
BibRef
Gong, B.C.[Bing-Chen],
Nie, Y.[Yinyu],
Lin, Y.Q.[Yi-Qun],
Han, X.G.[Xiao-Guang],
Yu, Y.Z.[Yi-Zhou],
ME-PCN: Point Completion Conditioned on Mask Emptiness,
ICCV21(12468-12477)
IEEE DOI
2203
Point cloud compression, Measurement, Geometry, Shape,
Network topology, Neural networks,
Vision for robotics and autonomous vehicles
BibRef
Wang, X.G.[Xiao-Gang],
Ang, M.H.[Marcelo H.],
Lee, G.H.[Gim Hee],
Voxel-based Network for Shape Completion by Leveraging Edge
Generation,
ICCV21(13169-13178)
IEEE DOI
2203
Point cloud compression, Representation learning, Deep learning,
Codes, Shape, Transforms, 3D from a single image and shape-from-x,
3D from multiview and other sensors
BibRef
Zhou, L.Q.[Lin-Qi],
Du, Y.L.[Yi-Lun],
Wu, J.J.[Jia-Jun],
3D Shape Generation and Completion through Point-Voxel Diffusion,
ICCV21(5806-5815)
IEEE DOI
2203
Point cloud compression, Solid modeling, Shape,
Computational modeling, Gaussian noise, Neural generative models,
3D from a single image and shape-from-x
BibRef
Wong, A.[Alex],
Soatto, S.[Stefano],
Unsupervised Depth Completion with Calibrated Backprojection Layers,
ICCV21(12727-12736)
IEEE DOI
2203
Training, Point cloud compression, Laser radar, Neural networks,
Streaming media, Cameras,
Vision for robotics and autonomous vehicles
BibRef
Huang, T.X.[Tian-Xin],
Zou, H.[Hao],
Cui, J.[Jinhao],
Zhang, J.N.[Jiang-Ning],
Yang, X.[Xue0Meng],
Li, L.[Lin],
Liu, Y.[Yong],
Adaptive Recurrent Forward Network for Dense Point Cloud Completion,
MultMed(25), 2023, pp. 5903-5915.
IEEE DOI
2311
BibRef
Huang, T.X.[Tian-Xin],
Zou, H.[Hao],
Cui, J.[Jinhao],
Yang, X.M.[Xue-Meng],
Wang, M.M.[Meng-Meng],
Zhao, X.R.[Xiang-Rui],
Zhang, J.N.[Jiang-Ning],
Yuan, Y.[Yi],
Xu, Y.F.[Yi-Fan],
Liu, Y.[Yong],
RFNet: Recurrent Forward Network for Dense Point Cloud Completion,
ICCV21(12488-12497)
IEEE DOI
2203
Point cloud compression, Learning systems, Costs, Shape, Pipelines,
3D from a single image and shape-from-x, Representation learning
BibRef
Lu, K.Y.[Kai-Yue],
Barnes, N.M.[Nick M.],
Anwar, S.[Saeed],
Zheng, L.[Liang],
Depth Completion Auto-Encoder,
VAQuality22(63-73)
IEEE DOI
2202
Training, Point cloud compression,
Conferences, Benchmark testing, Image reconstruction
BibRef
Huang, H.J.[Hao-Jie],
Yang, Z.Y.[Zi-Yi],
Platt, R.[Robert],
GASCN: Graph Attention Shape Completion Network,
3DV21(1269-1278)
IEEE DOI
2201
Point cloud compression, Geometry, Shape, Computational modeling,
Neural networks
BibRef
Chen, K.Y.[Kun-Yao],
Yin, F.[Fei],
Wu, B.C.[Bai-Chuan],
Du, B.[Bang],
Nguyen, T.[Truong],
Mesh Completion with Virtual Scans,
ICIP21(3303-3307)
IEEE DOI
2201
Learning systems, Surface reconstruction, Pipelines,
Inference algorithms, Numerical models, Surface treatment, 3D Reconstruction
BibRef
Deng, X.B.[Xiao-Bao],
Hu, X.L.[Xiao-Lin],
Buris, N.E.[Nicholas E.],
An, P.[Ping],
Chen, Y.L.[Yi-Lei],
3D Grid Transformation Network for Point Cloud Completion,
ICIP21(3642-3646)
IEEE DOI
2201
Deep learning, Surface reconstruction, Solid modeling, Shape,
Network architecture, Visual effects, point cloud, 3D deep learning completion
BibRef
Kumari, S.[Seema],
Raman, S.[Shanmuganathan],
3d Point Cloud Completion Using Stacked Auto-Encoder for Structure
Preservation,
ICIP21(3123-3127)
IEEE DOI
2201
Image coding, Shape, Redundancy, Decoding, Stacked auto-encoder,
Point cloud completion, MLP, Chamfer distance, Structure preservation
BibRef
Yu, Q.Y.[Qing-Yang],
Chu, L.[Lei],
Wu, Q.[Qi],
Pei, L.[Ling],
Grayscale and Normal Guided Depth Completion With A Low-Cost Lidar,
ICIP21(979-983)
IEEE DOI
2201
Laser radar, Gray-scale, Depth completion, Multi-task learning,
LiDAR, Attention mechanism, Dataset
BibRef
Cao, Z.D.[Zi-Dong],
Li, A.[Ang],
Yuan, Z.[Zejian],
Self-Supervised Depth Completion via Adaptive Sampling and Relative
Consistency,
ICIP21(3263-3267)
IEEE DOI
2201
Training, Annotations, Image processing, Image edge detection,
Cameras, Self-supervise, Depth completion, Adaptive sampling,
Relative consistency
BibRef
Rumezhak, T.[Taras],
Dobosevych, O.[Oles],
Hryniv, R.[Rostyslav],
Selotkin, V.[Vladyslav],
Karpiv, V.[Volodymyr],
Maksymenko, M.[Mykola],
Towards realistic symmetry-based completion of previously unseen
point clouds,
TradiCV21(2542-2550)
IEEE DOI
2112
Surface reconstruction, Codes,
Pipelines, Training data, Benchmark testing, Reconstruction algorithms
BibRef
Wen, X.[Xin],
Han, Z.Z.[Zhi-Zhong],
Cao, Y.P.[Yan-Pei],
Wan, P.F.[Peng-Fei],
Zheng, W.[Wen],
Liu, Y.S.[Yu-Shen],
Cycle4Completion: Unpaired Point Cloud Completion using Cycle
Transformation with Missing Region Coding,
CVPR21(13075-13084)
IEEE DOI
2111
Geometry, Codes, Shape, Computational modeling, Transforms
BibRef
Lee, B.U.[Byeong-Uk],
Lee, K.[Kyunghyun],
Kweon, I.S.[In So],
Depth Completion using Plane-Residual Representation,
CVPR21(13911-13920)
IEEE DOI
2111
Estimation, Inference algorithms, Decoding,
Classification algorithms, Pattern matching
BibRef
Imran, S.[Saif],
Liu, X.M.[Xiao-Ming],
Morris, D.[Daniel],
Depth Completion with Twin Surface Extrapolation at Occlusion
Boundaries,
CVPR21(2583-2592)
IEEE DOI
2111
Extrapolation, Interpolation, Fuses, Estimation,
Channel estimation, Robustness
BibRef
Zhang, X.C.[Xuan-Cheng],
Feng, Y.T.[Yu-Tong],
Li, S.Q.[Si-Qi],
Zou, C.Q.[Chang-Qing],
Wan, H.[Hai],
Zhao, X.B.[Xi-Bin],
Guo, Y.D.[Yan-Dong],
Gao, Y.[Yue],
View-Guided Point Cloud Completion,
CVPR21(15885-15894)
IEEE DOI
2111
Shape, Sensor fusion, Pattern recognition,
Task analysis, Image reconstruction, Periodic structures
BibRef
Long, Y.F.[Yun-Fei],
Morris, D.[Daniel],
Liu, X.M.[Xiao-Ming],
Castro, M.[Marcos],
Chakravarty, P.[Punarjay],
Narayanan, P.[Praveen],
Radar-Camera Pixel Depth Association for Depth Completion,
CVPR21(12502-12511)
IEEE DOI
2111
Training, Laser radar, Radar measurements,
Image color analysis, Radar detection, Radar
BibRef
Guizilini, V.[Vitor],
Ambrus, R.[Rares],
Burgard, W.[Wolfram],
Gaidon, A.[Adrien],
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and
Completion,
CVPR21(11073-11083)
IEEE DOI
2111
Training, Image sensors, Image coding,
Benchmark testing, Robot sensing systems, Sensors
BibRef
Bowen, R.S.[Richard Strong],
Chang, H.[Huiwen],
Herrmann, C.[Charles],
Teterwak, P.[Piotr],
Liu, C.[Ce],
Zabih, R.[Ramin],
OCONet: Image Extrapolation by Object Completion,
CVPR21(2307-2317)
IEEE DOI
2111
Extrapolation, Semantics, Pattern recognition
BibRef
Alliegro, A.[Antonio],
Valsesia, D.[Diego],
Fracastoro, G.[Giulia],
Magli, E.[Enrico],
Tommasi, T.[Tatiana],
Denoise and Contrast for Category Agnostic Shape Completion,
CVPR21(4627-4636)
IEEE DOI
2111
Training, Solid modeling, Shape,
Noise reduction, Semantics, Robustness
BibRef
Zhang, J.Z.[Jun-Zhe],
Chen, X.Y.[Xin-Yi],
Cai, Z.A.[Zhong-Ang],
Pan, L.[Liang],
Zhao, H.[Haiyu],
Yi, S.[Shuai],
Yeo, C.K.[Chai Kiat],
Dai, B.[Bo],
Loy, C.C.[Chen Change],
Unsupervised 3D Shape Completion through GAN Inversion,
CVPR21(1768-1777)
IEEE DOI
2111
Geometry, Degradation, Interpolation,
Shape, Computational modeling, Semantics
BibRef
Hegde, G.[Girish],
Pharale, T.[Tushar],
Jahagirdar, S.[Soumya],
Nargund, V.[Vaishakh],
Tabib, R.A.[Ramesh Ashok],
Mudenagudi, U.[Uma],
Vandrotti, B.[Basavaraja],
Dhiman, A.[Ankit],
DeepDNet: Deep Dense Network for Depth Completion Task,
WiCV21(2190-2199)
IEEE DOI
2109
Solid modeling, Image edge detection,
Computational modeling, Robot sensing systems, Mobile handsets, Sensors
BibRef
Ito, S.[Seiya],
Kaneko, N.[Naoshi],
Sumi, K.[Kazuhiko],
Seeing Farther Than Supervision: Self-supervised Depth Completion in
Challenging Environments,
MVA21(1-5)
DOI Link
2109
Training, Estimation, Indoor environment, Sensors, Optical flow
BibRef
Wu, Y.F.[You-Feng],
Trant, V.H.[Vu-Hoang],
Chang, T.W.[Ting-Wei],
Chiu, W.C.[Wei-Chen],
Huang, C.C.[Ching-Chun],
DEN: Disentangling and Exchanging Network for Depth Completion,
ICPR21(893-900)
IEEE DOI
2105
Image edge detection, Estimation, Metals, Feature extraction,
Reflection, Sensors, Data mining
BibRef
Wang, H.[Haiyan],
Yang, L.[Liang],
Rong, X.J.[Xue-Jian],
Tian, Y.[Yingli],
Towards Efficient 3D Point Cloud Scene Completion via Novel Depth
View Synthesis,
ICPR21(5573-5580)
IEEE DOI
2105
Training, Solid modeling, Annotations,
Semantics, Benchmark testing, Rendering (computer graphics)
BibRef
Gillsjö, D.[David],
Åström, K.[Kalle],
In Depth Bayesian Semantic Scene Completion,
ICPR21(6335-6342)
IEEE DOI
2105
Training, Uncertainty, Semantics,
Predictive models, Entropy, Bayes methods
BibRef
Halimi, O.[Oshri],
Imanuel, I.[Ido],
Litany, O.[Or],
Trappolini, G.[Giovanni],
Rodolà, E.[Emanuele],
Guibas, L.J.[Leonidas J.],
Kimmel, R.[Ron],
Towards Precise Completion of Deformable Shapes,
ECCV20(XXIV:359-377).
Springer DOI
2012
BibRef
Son, H.[Hyeontae],
Kim, Y.M.[Young Min],
SAUM: Symmetry-aware Upsampling Module for Consistent Point Cloud
Completion,
ACCV20(I:158-174).
Springer DOI
2103
BibRef
Richard, A.,
Cherabier, I.,
Oswald, M.R.,
Pollefeys, M.,
Schindler, K.,
KAPLAN: A 3D Point Descriptor for Shape Completion,
3DV20(101-110)
IEEE DOI
2102
Shape, Feature extraction, Geometry, Convolutional codes, Task analysis,
descriptor
BibRef
Pan, L.,
Ladický, L.,
Pollefeys, M.,
Compression and Completion of Animated Point Clouds using Topological
Properties of the Manifold,
3DV20(734-742)
IEEE DOI
2102
Strain, Data models,
Computational modeling, Shape, Animation, Image reconstruction
BibRef
Chen, Z.,
Wang, H.,
Wu, L.,
Zhou, Y.,
Wu, D.,
Spatiotemporal Guided Self-Supervised Depth Completion from LiDAR and
Monocular Camera,
VCIP20(54-57)
IEEE DOI
2102
Laser radar, Training, Image reconstruction, Cameras,
Task analysis, Benchmark testing,
Automatic drive
BibRef
Ghosh, P.,
Vineet, V.,
Davis, L.S.,
Shrivastava, A.,
Sinha, S.,
Joshi, N.,
Depth Completion Using a View-constrained Deep Prior,
3DV20(723-733)
IEEE DOI
2102
Electronics packaging, Optimization, Noise measurement,
Image reconstruction, Training data, depthmaps
BibRef
Wang, Y.[Yida],
Tan, D.J.[David Joseph],
Navab, N.[Nassir],
Tombari, F.[Federico],
Softpoolnet: Shape Descriptor for Point Cloud Completion and
Classification,
ECCV20(III:70-85).
Springer DOI
2012
BibRef
Park, J.[Jinsun],
Joo, K.[Kyungdon],
Hu, Z.[Zhe],
Liu, C.K.[Chi-Kuei],
Kweon, I.S.[In So],
Non-local Spatial Propagation Network for Depth Completion,
ECCV20(XIII:120-136).
Springer DOI
2011
BibRef
Zhang, W.X.[Wen-Xiao],
Yan, Q.A.[Qing-An],
Xiao, C.X.[Chun-Xia],
Detail Preserved Point Cloud Completion via Separated Feature
Aggregation,
ECCV20(XXV:512-528).
Springer DOI
2011
BibRef
Xu, Z.,
Yin, H.,
Yao, J.,
Deformable Spatial Propagation Networks For Depth Completion,
ICIP20(913-917)
IEEE DOI
2011
Task analysis, Benchmark testing, Laser radar, Measurement,
Interpolation, Autonomous vehicles, Training, depth completion,
KITTI dataset
BibRef
Xiong, X.[Xin],
Xiong, H.P.[Hai-Peng],
Xian, K.[Ke],
Zhao, C.[Chen],
Cao, Z.G.[Zhi-Guo],
Li, X.[Xin],
Sparse-to-dense Depth Completion Revisited:
Sampling Strategy and Graph Construction,
ECCV20(XXI:682-699).
Springer DOI
2011
BibRef
Lu, K.,
Barnes, N.,
Anwar, S.,
Zheng, L.,
From Depth What Can You See? Depth Completion via Auxiliary Image
Reconstruction,
CVPR20(11303-11312)
IEEE DOI
2008
Image reconstruction, Task analysis, Semantics, Feature extraction,
Training, Testing, Image segmentation
BibRef
Xie, H.Z.[Hao-Zhe],
Yao, H.X.[Hong-Xun],
Zhou, S.C.[Shang-Chen],
Mao, J.G.[Jia-Geng],
Zhang, S.P.[Sheng-Ping],
Sun, W.X.[Wen-Xiu],
Grnet: Gridding Residual Network for Dense Point Cloud Completion,
ECCV20(IX:365-381).
Springer DOI
2011
BibRef
Huang, Z.T.[Zi-Tian],
Yu, Y.K.[Yi-Kuan],
Xu, J.W.[Jia-Wen],
Ni, F.[Feng],
Le, X.Y.[Xin-Yi],
PF-Net: Point Fractal Network for 3D Point Cloud Completion,
CVPR20(7659-7667)
IEEE DOI
2008
Feature extraction, Decoding, Shape, Task analysis, Semantics, Distortion
BibRef
Zelek, J.,
Lunscher, N.,
Point Cloud Completion of Foot Shape from a Single Depth Map for Fit
Matching Using Deep Learning View Synthesis,
CVFashion17(2300-2305)
IEEE DOI
1802
Cameras, Foot, Footwear, Image reconstruction, Shape,
BibRef
Gu, J.Y.[Jia-Yuan],
Ma, W.C.[Wei-Chiu],
Manivasagam, S.[Sivabalan],
Zeng, W.Y.[Wen-Yuan],
Wang, Z.H.[Zi-Hao],
Xiong, Y.W.[Yu-Wen],
Su, H.[Hao],
Urtasun, R.[Raquel],
Weakly-supervised 3d Shape Completion in the Wild,
ECCV20(V:283-299).
Springer DOI
2011
BibRef
Wu, R.[Rundi],
Chen, X.[Xuelin],
Zhuang, Y.X.[Yi-Xin],
Chen, B.Q.[Bao-Quan],
Multimodal Shape Completion via Conditional Generative Adversarial
Networks,
ECCV20(IV:281-296).
Springer DOI
2011
BibRef
Azinovic, D.[Dejan],
Martin-Brualla, R.[Ricardo],
Goldman, D.B.[Dan B.],
Nießner, M.[Matthias],
Thies, J.[Justus],
Neural RGB-D Surface Reconstruction,
CVPR22(6280-6291)
IEEE DOI
2210
Surface reconstruction, Teleconferencing, Planing,
Current measurement, Mixed reality, Vision + graphics
BibRef
Dai, A.[Angela],
Siddiqui, Y.[Yawar],
Thies, J.[Justus],
Valentin, J.[Julien],
Nießner, M.[Matthias],
SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans,
CVPR21(1747-1756)
IEEE DOI
2111
Geometry, Solid modeling, Image color analysis, Data models
BibRef
Dai, A.[Angela],
Diller, C.,
Nießner, M.[Matthias],
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene
Completion of RGB-D Scans,
CVPR20(846-855)
IEEE DOI
2008
Training, Geometry, Task analysis,
Neural networks, Surface reconstruction, Solid modeling
BibRef
Wang, P.,
Liu, Y.,
Tong, X.,
Deep Octree-based CNNs with Output-Guided Skip Connections for 3D
Shape and Scene Completion,
L3DGM20(1074-1081)
IEEE DOI
2008
Octrees, Shape, Decoding, Geometry,
Task analysis, Semantics
BibRef
Li, A.[Ang],
Yuan, Z.J.[Ze-Jian],
Ling, Y.G.[Yong-Gen],
Chit, W.C.[Wan-Chao],
Zhang, S.H.[Sheng-Hao],
Zhang, C.[Chong],
FastCompletion: A Cascade Network with Multiscale Group-Fused Inputs
for Real-Time Depth Completion,
ICPR21(866-872)
IEEE DOI
2105
Computational modeling, Benchmark testing,
Feature extraction, Real-time systems, Sensors, Pattern recognition
BibRef
Li, A.[Ang],
Yuan, Z.J.[Ze-Jian],
Ling, Y.G.[Yong-Gen],
Chi, W.C.[Wan-Chao],
Zhang, S.H.[Sheng-Hao],
Zhang, C.[Chong],
A Multi-Scale Guided Cascade Hourglass Network for Depth Completion,
WACV20(32-40)
IEEE DOI
2006
Feature extraction, Convolution, Color, Estimation, Task analysis,
Image resolution
BibRef
Qu, C.[Chao],
Liu, W.X.[Wen-Xin],
Taylor, C.J.[Camillo J.],
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty,
ICCV21(16127-16137)
IEEE DOI
2203
Uncertainty, Fitting, Measurement uncertainty, Estimation,
Sensor fusion, Robot sensing systems,
3D from a single image and shape-from-x
BibRef
Qu, C.,
Nguyen, T.,
Taylor, C.J.,
Depth Completion via Deep Basis Fitting,
WACV20(71-80)
IEEE DOI
2006
Training, Task analysis, Convolution, Robustness, Linear programming,
Fitting, Estimation
BibRef
Huang, Y.,
Wu, T.,
Liu, Y.,
Hsu, W.H.,
Indoor Depth Completion with Boundary Consistency and Self-Attention,
RLQ19(1070-1078)
IEEE DOI
2004
convolutional neural nets, feature extraction, image capture,
image colour analysis, image enhancement, image restoration,
Image Enhancement
BibRef
Xu, Y.,
Zhu, X.,
Shi, J.,
Zhang, G.,
Bao, H.,
Li, H.,
Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints,
ICCV19(2811-2820)
IEEE DOI
2004
convolutional neural nets, learning (artificial intelligence),
optical radar, radar computing, solid modelling, dense depth maps,
Surface treatment
BibRef
Chen, Y.,
Yang, B.,
Liang, M.,
Urtasun, R.,
Learning Joint 2D-3D Representations for Depth Completion,
ICCV19(10022-10031)
IEEE DOI
2004
feature extraction, image colour analysis, image representation,
learning (artificial intelligence), depth completion network, Sensors
BibRef
Imran, S.[Saif],
Long, Y.F.[Yun-Fei],
Liu, X.M.[Xiao-Ming],
Morris, D.[Daniel],
Depth Coefficients for Depth Completion,
CVPR19(12438-12447).
IEEE DOI
2002
BibRef
Chen, Y.,
Garbade, M.,
Gall, J.,
3D Semantic Scene Completion from a Single Depth Image Using
Adversarial Training,
ICIP19(1835-1839)
IEEE DOI
1910
Semantic scene completion, Generative adversarial network
BibRef
Chodosh, N.[Nathaniel],
Wang, C.Y.[Chao-Yang],
Lucey, S.[Simon],
Deep Convolutional Compressed Sensing for LiDAR Depth Completion,
ACCV18(I:499-513).
Springer DOI
1906
BibRef
Gurumurthy, S.,
Agrawal, S.,
High Fidelity Semantic Shape Completion for Point Clouds Using Latent
Optimization,
WACV19(1099-1108)
IEEE DOI
1904
content-based retrieval, image reconstruction,
image representation, image retrieval,
Generators
BibRef
Chen, Y.C.[Yu-Chieh],
Tan, D.S.[Daniel Stanley],
Cheng, W.H.[Wen-Huang],
Hua, K.L.[Kai-Lung],
3D Object Completion via Class-Conditional Generative Adversarial
Network,
MMMod19(II:54-66).
Springer DOI
1901
BibRef
Zhang, Y.,
Funkhouser, T.,
Deep Depth Completion of a Single RGB-D Image,
CVPR18(175-185)
IEEE DOI
1812
Surface reconstruction, Cameras, Image reconstruction,
Image color analysis, Image resolution, Color, Optimization
BibRef
Dai, A.,
Ritchie, D.,
Bokeloh, M.,
Reed, S.,
Sturm, J.,
Nießner, M.,
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation
for 3D Scans,
CVPR18(4578-4587)
IEEE DOI
1812
Semantics, Geometry, Solid modeling,
Spatial resolution, Shape, Cameras
BibRef
Ku, J.,
Harakeh, A.,
Waslander, S.L.,
In Defense of Classical Image Processing:
Fast Depth Completion on the CPU,
CRV18(16-22)
IEEE DOI
1812
Laser radar, Kernel, Image processing, Neural networks,
Task analysis, Approximation algorithms, image processing, depth completion
BibRef
Dimitrievski, M.[Martin],
Veelaert, P.[Peter],
Philips, W.[Wilfried],
Learning Morphological Operators for Depth Completion,
ACIVS18(450-461).
Springer DOI
1810
BibRef
Atapour-Abarghouei, A.[Amir],
Breckon, T.P.[Toby P.],
Extended Patch Prioritization for Depth Filling Within Constrained
Exemplar-Based RGB-D Image Completion,
ICIAR18(306-314).
Springer DOI
1807
BibRef
Pan, L.Y.[Li-Yuan],
Dai, Y.C.[Yu-Chao],
Liu, M.M.[Miao-Miao],
Porikli, F.M.[Fatih M.],
Depth Map Completion by Jointly Exploiting Blurry Color Images and
Sparse Depth Maps,
WACV18(1377-1386)
IEEE DOI
1806
image colour analysis, image motion analysis, image resolution,
image sequences, learning (artificial intelligence),
BibRef
Han, X.,
Li, Z.,
Huang, H.,
Kalogerakis, E.[Evangelos],
Yu, Y.,
High-Resolution Shape Completion Using Deep Neural Networks for
Global Structure and Local Geometry Inference,
ICCV17(85-93)
IEEE DOI
1802
encoding, geometry, image fusion, image representation,
image resolution, learning (artificial intelligence),
BibRef
Dai, A.,
Qi, C.R.,
Nießner, M.,
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis,
CVPR17(6545-6554)
IEEE DOI
1711
Databases, Geometry, Shape, Solid modeling,
Training
BibRef
Thabet, A.K.[Ali K.],
Lahoud, J.[Jean],
Asmar, D.[Daniel],
Ghanem, B.[Bernard],
3D Aware Correction and Completion of Depth Maps in Piecewise Planar
Scenes,
ACCV14(II: 226-241).
Springer DOI
1504
BibRef
Huang, Y.L.[Yung-Lin],
Hsu, T.W.[Tang-Wei],
Chien, S.Y.[Shao-Yi],
Edge-aware depth completion for point-cloud 3D scene visualization on
an RGB-D camera,
VCIP14(422-425)
IEEE DOI
1504
image colour analysis
BibRef
Ide, K.[Kai],
Keller, I.[Ivo],
Sikora, T.[Thomas],
Consensus-based multiview texturing and depth-map completion,
ICIP13(2126-2130)
IEEE DOI
1402
3D Scanning
BibRef
Wang, L.[Liang],
Jin, H.L.[Hai-Lin],
Yang, R.G.[Rui-Gang],
Gong, M.L.[Ming-Lun],
Stereoscopic inpainting:
Joint color and depth completion from stereo images,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Denoising, Range Images, Range, Depth Data .