11.3.1 Implicit 3-D Models, Implicit Descriptions

Chapter Contents (Back)
Surface Reconstruction. Implicit Model. Implicit Description.

Yalcin, H.[Hulya], Unel, M.[Mustafa], Wolovich, W.A.[William A.],
Implicitization of Parametric Curves by Matrix Annihilation,
IJCV(54), No. 1-3, August 2003, pp. 105-115.
DOI Link 0306
BibRef
Earlier: ICIP02(III: 889-892).
IEEE DOI 0210
BibRef

Ozgur, E., Unel, M., Erdogan, H., Ercil, A.,
Evolving Implicit Polynomial Interfaces,
BMVC08(xx-yy).
PDF File. 0809
BibRef

Helzer, A.[Amir], Barzohar, M.[Meir], Malah, D.[David],
Stable Fitting of 2D Curves and 3D Surfaces by Implicit Polynomials,
PAMI(26), No. 10, October 2004, pp. 1283-1294.
IEEE Abstract. 0409
BibRef
Earlier:
Robust Fitting of Implicit Polynomials with Quantized Coefficients to 2d Data,
ICPR00(Vol III: 290-293).
IEEE DOI 0009
2d curves to 2d data, 3d to 3d data. Reduce effect of coefficient errors such as from numerical errors due to quantization. BibRef

Ben-Yaacov, H.[Hilla], Malah, D.[David], Barzohar, M.[Meir],
Recognition of 3D Objects Based on Implicit Polynomials,
PAMI(32), No. 5, May 2010, pp. 954-960.
IEEE DOI 1003
3D rotation invariants. Combinations of implicit polynomial (IP) coefficients. BibRef

Lu, G.Y.[Guo-Yu], Ren, L.[Li], Kolagunda, A.[Abhishek], Wang, X.L.[Xiao-Long], Turkbey, I.B.[Ismail B.], Choyke, P.L.[Peter L.], Kambhamettu, C.[Chandra],
Representing 3D shapes based on implicit surface functions learned from RBF neural networks,
JVCIR(40, Part B), No. 1, 2016, pp. 852-860.
Elsevier DOI 1610
3D shape presentation BibRef

Kolagunda, A.[Abhishek], Lu, G.Y.[Guo-Yu], Kambhamettu, C.[Chandra],
Hierarchical Hybrid Shape Representation for Medical Shapes,
BMVC15(xx-yy).
DOI Link 1601
combination of Extended Superquadrics and RBF interpolation function. Model base shape and deformations. BibRef

Han, Z.Z.[Zhi-Zhong], Liu, Z.B.[Zhen-Bao], Vong, C.M.[Chi-Man], Liu, Y.S.[Yu-Shen], Bu, S.H.[Shu-Hui], Han, J.W.[Jun-Wei], Chen, C.L.P.[C.L. Philip],
BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation,
IP(26), No. 8, August 2017, pp. 3707-3720.
IEEE DOI 1707
Markov processes, correlation methods, image classification, image coding, image representation, image retrieval, 3D local region, BoSCC, BoW method, Markov chains, arbitrary mesh resolution, bag-of-spatial context correlations, bag-of-words method, encoding procedure, intervirtual words, intravirtual words, irregular vertex topology, nonrigid shape transformation invariance, orientation ambiguity, rigid shape transformation invariance, spatially enhanced 3D shape representation, transition probabilities, Context, Correlation, Image coding, Shape, Spatial resolution, 3D shape representations, Bag of spatial context correlations, spatial context, spatial, context, correlation BibRef

Li, T.Y.[Tian-Yang], Wen, X.[Xin], Liu, Y.S.[Yu-Shen], Su, H.[Hua], Han, Z.Z.[Zhi-Zhong],
Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds,
CVPR22(12830-12840)
IEEE DOI 2210
Geometry, Interpolation, Codes, Shape, Octrees, 3D from multi-view and sensors BibRef

Qu, Y.J.[Ying-Jie], Deng, F.[Fei],
Sat-Mesh: Learning Neural Implicit Surfaces for Multi-View Satellite Reconstruction,
RS(15), No. 17, 2023, pp. 4297.
DOI Link 2310
BibRef


Marza, P.[Pierre], Matignon, L.[Laetitia], Simonin, O.[Olivier], Wolf, C.[Christian],
Multi-Object Navigation with dynamically learned neural implicit representations,
ICCV23(10970-10981)
IEEE DOI 2401
BibRef

Fujimura, Y.[Yuki], Kushida, T.[Takahiro], Funatomi, T.[Takuya], Mukaigawa, Y.[Yasuhiro],
NLOS-NeuS: Non-line-of-sight Neural Implicit Surface,
ICCV23(10498-10507)
IEEE DOI Code:
WWW Link. 2401
BibRef

Chen, C.H.[Chia-Hao], Liu, Y.T.[Ying-Tian], Zhang, Z.F.[Zhi-Fei], Guo, Y.C.[Yuan-Chen], Zhang, S.H.[Song-Hai],
Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts,
ICCV23(5515-5525)
IEEE DOI 2401
BibRef

Liu, K.[Ke], Liu, F.[Feng], Wang, H.[Haishuai], Ma, N.[Ning], Bu, J.J.[Jia-Jun], Han, B.[Bo],
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis,
ICCV23(5451-5460)
IEEE DOI 2401
BibRef

Huang, X.Y.[Xiao-Yang], Zhang, Y.[Yi], Chen, K.[Kai], Li, T.[Teng], Zhang, W.J.[Wen-Jun], Ni, B.B.[Bing-Bing],
Learning Shape Primitives via Implicit Convexity Regularization,
ICCV23(3619-3628)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zhang, Y.H.[Yi-Heng], Qiu, Z.[Zhaofan], Pan, Y.W.[Ying-Wei], Yao, T.[Ting], Mei, T.[Tao],
Learning Neural Implicit Surfaces with Object-Aware Radiance Fields,
ICCV23(17847-17856)
IEEE DOI 2401
BibRef

Chen, C.[Chao], Liu, Y.S.[Yu-Shen], Han, Z.Z.[Zhi-Zhong],
GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds,
ICCV23(18276-18288)
IEEE DOI Code:
WWW Link. 2401
BibRef

Tu, S.Y.[Shu-Yuan], Dai, Q.[Qi], Wu, Z.[Zuxuan], Cheng, Z.Q.[Zhi-Qi], Hu, H.[Han], Jiang, Y.G.[Yu-Gang],
Implicit Temporal Modeling with Learnable Alignment for Video Recognition,
ICCV23(19879-19890)
IEEE DOI Code:
WWW Link. 2401
BibRef

Girish, S.[Sharath], Shrivastava, A.[Abhinav], Gupta, K.[Kamal],
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations,
ICCV23(17467-17478)
IEEE DOI Code:
WWW Link. 2401
BibRef

Novello, T.[Tiago], da Silva, V.[Vinicius], Schardong, G.[Guilherme], Schirmer, L.[Luiz], Lopes, H.[Helio], Velho, L.[Luiz],
Neural Implicit Surface Evolution,
ICCV23(14233-14243)
IEEE DOI 2401
BibRef

Erkoç, Z.[Ziya], Ma, F.[Fangchang], Shan, Q.[Qi], Nießner, M.[Matthias], Dai, A.[Angela],
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion,
ICCV23(14254-14264)
IEEE DOI 2401
BibRef

Zhang, B.[Baowen], Li, J.[Jiahe], Deng, X.M.[Xiao-Ming], Zhang, Y.[Yinda], Ma, C.X.[Cui-Xia], Wang, H.A.[Hong-An],
Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects,
ICCV23(14222-14232)
IEEE DOI Code:
WWW Link. 2401
BibRef

Molaei, A.[Amirali], Aminimehr, A.[Amirhossein], Tavakoli, A.[Armin], Kazerouni, A.[Amirhossein], Azad, B.[Bobby], Azad, R.[Reza], Merhof, D.[Dorit],
Implicit Neural Representation in Medical Imaging: A Comparative Survey,
CVAMD23(2373-2383)
IEEE DOI 2401
BibRef

Wang, M.[Meng], Liu, Y.S.[Yu-Shen], Gao, Y.[Yue], Shi, K.[Kanle], Fang, Y.[Yi], Han, Z.Z.[Zhi-Zhong],
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes,
CVPR23(21856-21865)
IEEE DOI 2309
BibRef

Kulkarni, N.[Nilesh], Jin, L.[Linyi], Johnson, J.[Justin], Fouhey, D.F.[David F.],
Learning to Predict Scene-Level Implicit 3D from Posed RGBD Data,
CVPR23(17256-17265)
IEEE DOI 2309
BibRef

Yang, X.H.[Xiang-Hui], Lin, G.S.[Guo-Sheng], Chen, Z.H.[Zheng-Hao], Zhou, L.P.[Lu-Ping],
Neural Vector Fields: Implicit Representation by Explicit Learning,
CVPR23(16727-16738)
IEEE DOI 2309

WWW Link. BibRef

Cai, B.[Bowen], Huang, J.[Jinchi], Jia, R.[Rongfei], Lv, C.[Chengfei], Fu, H.[Huan],
NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction,
CVPR23(8476-8485)
IEEE DOI 2309
BibRef

Chen, D.[Decai], Zhang, P.[Peng], Feldmann, I.[Ingo], Schreer, O.[Oliver], Eisert, P.[Peter],
Recovering Fine Details for Neural Implicit Surface Reconstruction,
WACV23(4319-4328)
IEEE DOI 2302
Geometry, Surface reconstruction, Interpolation, Reconstruction algorithms, Rendering (computer graphics), Algorithms: 3D computer vision BibRef

Jin, J.C.[Jiong-Chao], Xu, H.Q.[Huan-Qiang], Ji, P.L.[Peng-Liang], Leng, B.[Biao],
IMC-NET: Learning Implicit Field with Corner Attention Network for 3D Shape Reconstruction,
ICIP22(1591-1595)
IEEE DOI 2211
Solid modeling, Shape, Image reconstruction, Single view reconstruction, implicit field reconstruction, details reconstruction BibRef

Meng, X.X.[Xiao-Xu], Chen, W.[Weikai], Yang, B.[Bo],
NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-View Images,
CVPR23(248-258)
IEEE DOI 2309
BibRef

Wang, Z.[Zhen], Zhou, S.J.[Shi-Jie], Park, J.J.[Jeong Joon], Paschalidou, D.[Despoina], You, S.[Suya], Wetzstein, G.[Gordon], Guibas, L.J.[Leonidas J.], Kadambi, A.[Achuta],
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction,
CVPR23(259-270)
IEEE DOI 2309
BibRef

Chen, Y.L.[Yun-Lu], Fernando, B.[Basura], Bilen, H.[Hakan], Nießner, M.[Matthias], Gavves, E.[Efstratios],
3D Equivariant Graph Implicit Functions,
ECCV22(III:485-502).
Springer DOI 2211
BibRef

Feng, B.Y.[Brandon Y.], Zhang, Y.[Yinda], Tang, D.H.[Dan-Hang], Du, R.F.[Ruo-Fei], Varshney, A.[Amitabh],
PRIF: Primary Ray-Based Implicit Function,
ECCV22(III:138-155).
Springer DOI 2211
Shape model. BibRef

Chen, C.[Chao], Liu, Y.S.[Yu-Shen], Han, Z.Z.[Zhi-Zhong],
Latent Partition Implicit with Surface Codes for 3D Representation,
ECCV22(III:322-343).
Springer DOI 2211

WWW Link. BibRef

Wu, Q.Y.[Qian-Yi], Wang, K.Y.[Kaisi-Yuan], Li, K.J.[Ke-Jie], Zheng, J.M.[Jian-Min], Cai, J.F.[Jian-Fei],
ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces,
ICCV23(21707-21717)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wu, Q.Y.[Qian-Yi], Liu, X.[Xian], Chen, Y.D.[Yue-Dong], Li, K.J.[Ke-Jie], Zheng, C.X.[Chuan-Xia], Cai, J.F.[Jian-Fei], Zheng, J.M.[Jian-Min],
Object-Compositional Neural Implicit Surfaces,
ECCV22(XXVII:197-213).
Springer DOI 2211
BibRef

Ye, J.L.[Jiang-Long], Chen, Y.T.[Yun-Tao], Wang, N.[Naiyan], Wang, X.L.[Xiao-Long],
GIFS: Neural Implicit Function for General Shape Representation,
CVPR22(12819-12829)
IEEE DOI 2210
Surface reconstruction, Solid modeling, Shape, Neural networks, Visual effects, Rendering (computer graphics), 3D from multi-view and sensors BibRef

Lionar, S.[Stefan], Schmid, L.[Lukas], Cadena, C.[Cesar], Siegwart, R.[Roland], Cramariuc, A.[Andrei],
NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric Mapping,
3DV21(1279-1289)
IEEE DOI 2201
Training, Codes, Shape, Pipelines, Real-time systems, Sensor systems, neural implicit representation, robotic mapping, dense reconstruction BibRef

Giebenhain, S.[Simon], Goldlücke, B.[Bastian],
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations,
3DV21(1054-1064)
IEEE DOI 2201
Point cloud compression, Learning systems, Geometry, Codes, Shape, Atmospheric modeling, Implicit Functions, 3D Reconstruction BibRef

Zheng, Z.R.[Ze-Rong], Yu, T.[Tao], Dai, Q.H.[Qiong-Hai], Liu, Y.B.[Ye-Bin],
Deep Implicit Templates for 3D Shape Representation,
CVPR21(1429-1439)
IEEE DOI 2111
Training, Geometry, Shape, Semantics, Network architecture BibRef

Yavartanoo, M.[Mohsen], Chung, J.[Jaeyoung], Neshatavar, R.[Reyhaneh], Lee, K.M.[Kyoung Mu],
3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces,
ICCV21(12426-12435)
IEEE DOI 2203
Measurement, Deep learning, Surface reconstruction, Image segmentation, Shape, Semantics, Representation learning BibRef

Huang, J.H.[Jia-Hui], Huang, S.S.[Shi-Sheng], Song, H.X.[Hao-Xuan], Hu, S.M.[Shi-Min],
DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors,
CVPR21(8928-8937)
IEEE DOI 2111
Geometry, Surface reconstruction, Uncertainty, Pose estimation, Reconstruction algorithms, Cameras BibRef

Zhao, W.B.[Wen-Bin], Lei, J.[Jiabao], Wen, Y.X.[Yu-Xin], Zhang, J.G.[Jian-Guo], Jia, K.[Kui],
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds,
CVPR21(10251-10260)
IEEE DOI 2111
Training, Surface reconstruction, Correlation, Codes, Adaptive systems, Shape BibRef

Wang, Y.F.[Yi-Fan], Wu, S.H.[Shi-Hao], Öztireli, C.[Cengiz], Sorkine-Hornung, O.[Olga],
Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations,
CVPR21(374-383)
IEEE DOI 2111
Training, Deep learning, Surface reconstruction, Optimization methods, Topology, Pattern recognition BibRef

Lombardi, S., Oswald, M.R.[Martin Ralf], Pollefeys, M.[Marc],
Scalable Point Cloud-based Reconstruction with Local Implicit Functions,
3DV20(997-1007)
IEEE DOI 2102
Surface reconstruction, Shape, deep learning, Feature extraction, Lattices, Image reconstruction, Encoding BibRef

Poursaeed, O.[Omid], Fisher, M.[Matthew], Aigerman, N.[Noam], Kim, V.G.[Vladimir G.],
Coupling Explicit and Implicit Surface Representations for Generative 3d Modeling,
ECCV20(X:667-683).
Springer DOI 2011
BibRef

Fujiwara, K.[Kent], Hashimoto, T.[Taiichi],
Neural Implicit Embedding for Point Cloud Analysis,
CVPR20(11731-11740)
IEEE DOI 2008
Encode point cloud to enable input to NN. Neural networks, Shape, Task analysis, Robustness BibRef

Erler, P.[Philipp], Guerrero, P.[Paul], Ohrhallinger, S.[Stefan], Mitra, N.J.[Niloy J.], Wimmer, M.[Michael],
Points2surf Learning Implicit Surfaces from Point Clouds,
ECCV20(V:108-124).
Springer DOI 2011
BibRef

Genova, K., Cole, F., Sud, A., Sarna, A., Funkhouser, T.,
Local Deep Implicit Functions for 3D Shape,
CVPR20(4856-4865)
IEEE DOI 2008
Shape, Image reconstruction, Surface reconstruction, Pipelines, Decoding, Cameras BibRef

Wang, L.[Li], Hétroy-Wheeler, F.[Franck], Boyer, E.[Edmond],
On Volumetric Shape Reconstruction from Implicit Forms,
ECCV16(III: 173-188).
Springer DOI 1611
Centroidal Voronoi Tessellations. BibRef

Wu, X.J.[Xiao-Jun], Wang, M.Y.[Michael Yu], Chen, J.[Jia],
Narrow-Band Based Radial Basis Functions Implicit Surface Reconstruction,
GMP08(xx-yy).
Springer DOI 0804
BibRef

Jiang, T.T.[Ting-Ting], Tomasi, C.[Carlo],
Robust shape normalization based on implicit representations,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Chen, Y.L.[Yi-Ling], Lai, S.H.[Shang-Hong], Lee, T.Y.[Tung-Ying],
Generalized MPU Implicits Using Belief Propagation,
3DIM07(400-407).
IEEE DOI 0708
BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Specific 3-D Models, Cultural Items, Applied 3-D Descriptions .


Last update:Jul 13, 2024 at 15:27:21