Mekuria, R.,
Blom, K.,
Cesar, P.,
Design, Implementation, and Evaluation of a Point Cloud Codec for
Tele-Immersive Video,
CirSysVideo(27), No. 4, April 2017, pp. 828-842.
IEEE DOI
1704
Codecs
BibRef
Chou, P.A.,
Koroteev, M.,
Krivokuca, M.,
A Volumetric Approach to Point Cloud Compression: Part I: Attribute
Compression,
IP(29), 2020, pp. 2203-2216.
IEEE DOI
2001
Image coding, Geometry, Transforms,
Octrees, Splines (mathematics), Hilbert space, Bézier volumes,
counting measure
BibRef
Krivokuca, M.,
Chou, P.A.,
Koroteev, M.,
A Volumetric Approach to Point Cloud Compression Part II: Geometry
Compression,
IP(29), 2020, pp. 2217-2229.
IEEE DOI
2001
Bézier volumes, B-splines, wavelets, point cloud compression,
geometry coding, shape coding, multiresolution representations,
graph signal processing
BibRef
Peixoto, E.,
Intra-Frame Compression of Point Cloud Geometry Using Dyadic
Decomposition,
SPLetters(27), 2020, pp. 246-250.
IEEE DOI
2002
Point clouds, intra coder, lossless coding, arithmetic coding
BibRef
Freitas, D.R.[Davi R.],
Peixoto, E.[Eduardo],
de Queiroz, R.L.[Ricardo L.],
Medeiros, E.[Edil],
Lossy Point Cloud Geometry Compression Via Dyadic Decomposition,
ICIP20(2731-2735)
IEEE DOI
2011
Geometry, Encoding, Octrees, Bit rate,
Binary trees, Transform coding, Point clouds, lossy coding, intra coder
BibRef
Guarda, A.F.R.[André F. R.],
Rodrigues, N.M.M.[Nuno M. M.],
Pereira, F.[Fernando],
Neighborhood Adaptive Loss Function for Deep Learning-Based Point
Cloud Coding With Implicit and Explicit Quantization,
MultMedMag(28), No. 3, July 2021, pp. 107-116.
IEEE DOI
2109
Encoding, Deep learning, Distortion, Geometry, Machine learning,
Image coding, Point cloud coding, explicit quantization
BibRef
Guarda, A.F.R.[André F. R.],
Ruivo, M.[Manuel],
Coelho, L.[Luís],
Seleem, A.[Abdelrahman],
Rodrigues, N.M.M.[Nuno M. M.],
Pereira, F.[Fernando],
Deep Learning-Based Point Cloud Coding and Super-Resolution:
A Joint Geometry and Color Approach,
MultMed(27), 2025, pp. 914-926.
IEEE DOI
2502
Encoding, Geometry, Image coding, Transform coding,
Point cloud compression, Standards, Image color analysis,
point cloud super-resolution
BibRef
Guarda, A.F.R.[André F. R.],
Rodrigues, N.M.M.[Nuno M. M.],
Pereira, F.[Fernando],
Point Cloud Geometry and Color Coding in a Learning-Based Ecosystem
for JPEG Coding Standards,
ICIP23(2585-2589)
IEEE DOI
2312
BibRef
Ruivo, M.[Manuel],
Guarda, A.F.R.[André F. R.],
Pereira, F.[Fernando],
Learning-Based Rate Control for Learning-Based Point Cloud Geometry
Coding,
ICIP23(251-255)
IEEE DOI
2312
BibRef
Seleem, A.[Abdelrahman],
Guarda, A.F.R.[André F. R.],
Rodrigues, N.M.M.[Nuno M. M.],
Pereira, F.[Fernando],
Deep Learning-Based Compressed Domain Point Cloud Classification,
ICIP23(2620-2624)
IEEE DOI
2312
BibRef
Ramalho, E.[Evaristo],
Peixoto, E.[Eduardo],
Medeiros, E.[Edil],
Silhouette 4D With Context Selection:
Lossless Geometry Compression of Dynamic Point Clouds,
SPLetters(28), 2021, pp. 1660-1664.
IEEE DOI
2109
Image coding, Encoding,
Transform coding, Signal processing algorithms, Codecs, Geometry,
arithmetic coding
BibRef
Zhu, W.J.[Wen-Jie],
Xu, Y.L.[Yi-Ling],
Ding, D.D.[Dan-Dan],
Ma, Z.[Zhan],
Nilsson, M.[Mike],
Lossy Point Cloud Geometry Compression via Region-Wise Processing,
CirSysVideo(31), No. 12, December 2021, pp. 4575-4589.
IEEE DOI
2112
Geometry, Octrees, Encoding, Transforms,
Surface treatment, Transform coding, Point cloud geometry,
region compression
BibRef
Wang, J.Q.[Jian-Qiang],
Zhu, H.[Hao],
Liu, H.J.[Hao-Jie],
Ma, Z.[Zhan],
Lossy Point Cloud Geometry Compression via End-to-End Learning,
CirSysVideo(31), No. 12, December 2021, pp. 4909-4923.
IEEE DOI
2112
Image coding, Geometry,
Transform coding, Octrees, Transforms,
end-to-end learning
BibRef
Hu, Y.Y.[Yue-Yu],
Yang, W.H.[Wen-Han],
Ma, Z.[Zhan],
Liu, J.Y.[Jia-Ying],
Learning End-to-End Lossy Image Compression: A Benchmark,
PAMI(44), No. 8, August 2022, pp. 4194-4211.
IEEE DOI
2207
Image coding, Benchmark testing, Entropy, Rate-distortion, Codecs,
Transforms, Transform coding, Machine learning, image compression,
transform coding
BibRef
Gao, L.Y.[Lin-Yao],
Fan, T.Y.[Ting-Yu],
Wan, J.Q.[Jian-Qiang],
Xu, Y.L.[Yi-Ling],
Sun, J.[Jun],
Ma, Z.[Zhan],
Point Cloud Geometry Compression Via Neural Graph Sampling,
ICIP21(3373-3377)
IEEE DOI
2201
Geometry, Convolutional codes, Measurement, Image coding,
Transform coding, Euclidean distance, Point cloud geometry (PCG),
point-wise convolution
BibRef
Nguyen, D.T.[Dat Thanh],
Quach, M.[Maurice],
Valenzise, G.[Giuseppe],
Duhamel, P.[Pierre],
Lossless Coding of Point Cloud Geometry Using a Deep Generative Model,
CirSysVideo(31), No. 12, December 2021, pp. 4617-4629.
IEEE DOI
2112
Octrees, Geometry, Image coding,
Encoding, Context modeling, Convolutional codes,
arithmetic coding
BibRef
Nguyen, D.T.[Dat Thanh],
Kaup, A.[André],
Learning-Based Lossless Point Cloud Geometry Coding Using Sparse
Tensors,
ICIP22(2341-2345)
IEEE DOI
2211
Point cloud compression, Geometry, Image coding, Tensors,
Convolution, Computational modeling, Point Cloud,
SparseVoxelDNN
BibRef
Song, F.[Fei],
Shao, Y.T.[Yi-Ting],
Gao, W.[Wei],
Wang, H.Q.[Hai-Qiang],
Li, T.[Thomas],
Layer-Wise Geometry Aggregation Framework for Lossless LiDAR Point
Cloud Compression,
CirSysVideo(31), No. 12, December 2021, pp. 4603-4616.
IEEE DOI
2112
Geometry, Octrees, Laser radar,
Correlation, Adaptation models, Entropy coding, Layer-wise,
LiDAR point cloud
BibRef
Zhang, X.[Xiang],
Gao, W.[Wen],
Adaptive Geometry Partition for Point Cloud Compression,
CirSysVideo(31), No. 12, December 2021, pp. 4561-4574.
IEEE DOI
2112
Encoding, Geometry, Standards,
Transform coding, Video coding, Image coding,
binary-tree partition
BibRef
Tzamarias, D.E.O.[Dion E. O.],
Chow, K.[Kevin],
Blanes, I.[Ian],
Serra-Sagristŕ, J.[Joan],
Fast Run-Length Compression of Point Cloud Geometry,
IP(31), 2022, pp. 4490-4501.
IEEE DOI
2207
Point cloud compression, Image coding, Geometry, Octrees, Encoding,
Arithmetic, Point cloud geometry compression, context-adaptive encoder
BibRef
Gu, R.B.[Rui-Bin],
Wu, Q.X.[Qiu-Xia],
Ng, W.W.Y.[Wing W.Y.],
Xu, H.B.[Hong-Bin],
Wang, Z.Y.[Zhi-Yong],
ERINet: Enhanced Rotation-Invariant Network for Point Cloud
Classification,
PRL(151), 2021, pp. 180-186.
Elsevier DOI
2110
Point cloud classification, Rotation invariance, 3D Deep learning
BibRef
Gu, R.B.[Rui-Bin],
Wu, Q.X.[Qiu-Xia],
Li, Y.Q.[Yu-Qiong],
Kang, W.X.[Wen-Xiong],
Ng, W.W.Y.[Wing W. Y.],
Wang, Z.Y.[Zhi-Yong],
Enhanced Local and Global Learning for Rotation-Invariant Point Cloud
Representation,
MultMedMag(29), No. 4, October 2022, pp. 24-37.
IEEE DOI
2301
Point cloud compression, Representation learning,
Supervised learning, Perturbation methods, Unsupervised learning, Task analysis
BibRef
Dang, J.S.[Ji-Sheng],
Yang, J.[Jun],
LHPHGCNN: Lightweight Hierarchical Parallel Heterogeneous Group
Convolutional Neural Networks for Point Cloud Scene Prediction,
ITS(23), No. 10, October 2022, pp. 18903-18915.
IEEE DOI
2210
BibRef
Earlier:
HPGCNN: Hierarchical Parallel Group Convolutional Neural Networks for
Point Clouds Processing,
ACCV20(I:20-37).
Springer DOI
2103
Convolution, Point cloud compression, Encoding, Semantics, Shape,
Feature extraction, 3D point cloud classification/segmentation,
lightweight hierarchical parallel heterogeneous
group convolutional neural network
BibRef
Yu, Y.G.[You-Guang],
Zhang, W.[Wei],
Yang, F.Z.[Fu-Zheng],
Li, G.[Ge],
Rate-Distortion Optimized Geometry Compression for Spinning LiDAR
Point Cloud,
MultMed(25), 2023, pp. 2993-3005.
IEEE DOI
2309
BibRef
Nguyen, D.T.[Dat Thanh],
Kaup, A.[André],
Lossless Point Cloud Geometry and Attribute Compression Using a
Learned Conditional Probability Model,
CirSysVideo(33), No. 8, August 2023, pp. 4337-4348.
IEEE DOI
2308
Point cloud compression, Geometry, Octrees, Transforms, Image coding,
Context modeling, Point cloud attribute coding, CNeT, G-PCC,
sparse convolution
BibRef
Wei, Z.W.[Zi-Wei],
Niu, B.[Benben],
Xiao, H.D.[Hao-Dong],
He, Y.[Yun],
Isolated Points Prediction via Deep Neural Network on Point Cloud
Lossless Geometry Compression,
CirSysVideo(33), No. 1, January 2023, pp. 407-420.
IEEE DOI
2301
Point cloud compression, Geometry, Feature extraction, Codes,
Artificial neural networks, Predictive models, Laser radar,
hierarchical feature extraction
BibRef
Yu, Y.G.[You-Guang],
Zhang, W.[Wei],
Li, G.[Ge],
Yang, F.Z.[Fu-Zheng],
A Regularized Projection-Based Geometry Compression Scheme for LiDAR
Point Cloud,
CirSysVideo(33), No. 3, March 2023, pp. 1427-1437.
IEEE DOI
2303
Point cloud compression, Laser radar, Image coding, Spinning,
Transform coding, Geometry, Encoding, LiDAR point cloud,
regularized projection
BibRef
Li, L.[Li],
Li, Z.[Zhu],
Liu, S.[Shan],
Li, H.Q.[Hou-Qiang],
Frame-Level Rate Control for Geometry-Based LiDAR Point Cloud
Compression,
MultMed(25), 2023, pp. 3855-3867.
IEEE DOI
2310
BibRef
Liu, B.[Bojun],
Ma, Y.Z.[Yang-Zhi],
Li, L.[Li],
Liu, D.[Dong],
Li, Z.[Zhu],
Li, H.Q.[Hou-Qiang],
Next Bit Prediction: A Unified Lossless and Lossy Point Cloud
Geometry Compression Framework,
PAMI(48), No. 5, May 2026, pp. 5371-5387.
IEEE DOI
2604
Point cloud compression, Geometry, Estimation, Encoding, Bit rate,
Octrees, Laser radar, Entropy, Tensors, sparse convolution
BibRef
Li, Z.H.[Ze-Hong],
Zhu, J.H.[Jia-Hao],
Ding, D.D.[Dan-Dan],
Ma, Z.[Zhan],
Improving Occupancy Prediction for Multiscale Point Cloud Geometry
Compression,
CirSysVideo(36), No. 4, April 2026, pp. 4450-4463.
IEEE DOI
2604
Point cloud compression, Encoding, Geometry, Convolutional codes,
Transform coding, Correlation, Sparse approximation,
conditional coding
BibRef
Liu, D.Z.[Dai-Zong],
Hu, W.[Wei],
Li, X.[Xin],
Point Cloud Attacks in Graph Spectral Domain:
When 3D Geometry Meets Graph Signal Processing,
PAMI(46), No. 5, May 2024, pp. 3079-3095.
IEEE DOI
2404
Point cloud compression, Spectral analysis, Perturbation methods, Geometry,
Shape, point cloud attack
BibRef
Shen, W.X.[Wen-Xiang],
Zhang, B.Y.[Bao-Ye],
Xu, H.[Hao],
Li, X.H.[Xiao-Han],
Wu, J.[Jun],
Multi-Space Point Geometry Compression With Progressive
Relation-Aware Transformer,
MultMed(26), 2024, pp. 8969-8980.
IEEE DOI
2408
Point cloud compression, Transformers, Decoding, Geometry, Entropy,
Encoding, Cross-attention, point cloud geometry compression, transformer
BibRef
Sun, C.[Chang],
Yuan, H.[Hui],
Mao, X.L.[Xiao-Long],
Lu, X.[Xin],
Hamzaoui, R.[Raouf],
Enhancing Octree-Based Context Models for Point Cloud Geometry
Compression With Attention-Based Child Node Number Prediction,
SPLetters(31), 2024, pp. 1835-1839.
IEEE DOI
2408
Context modeling, Predictive models, Point cloud compression,
Probability distribution, Loss measurement, Solid modeling,
point cloud geometry compression
BibRef
Wei, L.[Lei],
Wan, S.[Shuai],
Wang, Z.C.[Zhe-Cheng],
Yang, F.Z.[Fu-Zheng],
Near-Lossless Compression of Point Cloud Attribute Using Quantization
Parameter Cascading and Rate-Distortion Optimization,
MultMed(26), 2024, pp. 3317-3330.
IEEE DOI
2402
Point cloud compression, Quantization (signal), Distortion,
Transforms, Geometry, Encoding, Point cloud compression,
rate distortion optimization
BibRef
Li, D.Q.[Ding-Quan],
Ma, K.[Kede],
Wang, J.[Jing],
Li, G.[Ge],
Hierarchical Prior-Based Super Resolution for Point Cloud Geometry
Compression,
IP(33), 2024, pp. 1965-1976.
IEEE DOI Code:
WWW Link.
2403
Point cloud compression, Geometry, Superresolution,
Image coding, Image reconstruction, coarse-to-fine super resolution
BibRef
Wang, J.Q.[Jian-Qiang],
Xue, R.X.[Rui-Xiang],
Li, J.X.[Jia-Xin],
Ding, D.D.[Dan-Dan],
Lin, Y.[Yi],
Ma, Z.[Zhan],
A Versatile Point Cloud Compressor Using Universal Multiscale
Conditional Coding: Part I: Geometry,
PAMI(47), No. 1, January 2025, pp. 269-287.
IEEE DOI
2412
Point cloud compression, Geometry, Encoding, Tensors,
Spatiotemporal phenomena, Correlation, Transform coding, Attribute,
point cloud compression
BibRef
Wang, J.Q.[Jian-Qiang],
Xue, R.X.[Rui-Xiang],
Li, J.X.[Jia-Xin],
Ding, D.D.[Dan-Dan],
Lin, Y.[Yi],
Ma, Z.[Zhan],
A Versatile Point Cloud Compressor Using Universal Multiscale
Conditional Coding: Part II: Attribute,
PAMI(47), No. 1, January 2025, pp. 252-268.
IEEE DOI
2412
Geometry, Point cloud compression, Encoding, Tensors,
Image color analysis, Image coding, Transform coding, Attribute,
point cloud compression
BibRef
Vishwanath, B.[Bharath],
Zhang, K.[Kai],
Zhang, L.[Li],
Advances in Predictive RAHT for Geometric Point Cloud Compression,
IP(34), 2025, pp. 2926-2938.
IEEE DOI
2505
Transforms, Point cloud compression, Filtering, Decoding, Kernel,
Complexity theory, Geometry, Distortion, Codecs, Octrees, Point clouds,
temporal filtering
BibRef
Yu, L.[Li],
Zhong, H.C.[Hong-Chao],
Zou, L.K.[Long-Kun],
Chen, K.[Ke],
Gao, P.[Pan],
Bridging Domain Gap of Point Cloud Representations via
Self-Supervised Geometric Augmentation,
CirSysVideo(35), No. 5, May 2025, pp. 4846-4856.
IEEE DOI
2505
Point cloud compression, Translation, Self-supervised learning,
Feature extraction, Semantics, Adaptation models, Vectors, data augmentation
BibRef
Wang, X.J.[Xin-Jie],
Xu, K.[Ke],
Deng, B.[Bin],
Guo, Y.L.[Yu-Lan],
Wang, H.Y.[Han-Yun],
ASRL: Adaptive Sparse Representation Learning for LiDAR Point Cloud
Geometry Compression,
SPLetters(32), 2025, pp. 3884-3888.
IEEE DOI
2511
Convolution, Transformers, Point cloud compression, Octrees,
Adaptation models, Mixers, Laser radar, Indexes,
point cloud geometry compression
BibRef
Wang, X.J.[Xin-Jie],
Zhang, Y.F.[Yi-Fan],
Liu, T.[Ting],
Liu, X.[Xinpu],
Xu, K.[Ke],
Wan, J.W.[Jian-Wei],
Guo, Y.L.[Yu-Lan],
Wang, H.Y.[Han-Yun],
Efficient Occupancy Prediction Guided Point Cloud Geometry
Compression,
CirSysVideo(36), No. 3, March 2026, pp. 3923-3937.
IEEE DOI
2603
BibRef
Earlier:
TopNet: Transformer-Efficient Occupancy Prediction Network for
Octree-Structured Point Cloud Geometry Compression,
CVPR25(27305-27314)
IEEE DOI Code:
WWW Link.
2508
Octrees, Transformers, Point cloud compression, Context modeling,
Convolutional neural networks, Indexes, Geometry, Encoding, Windows.
Geometry, PSNR, Transportation, Standards,
point cloud geometry compression (pcgc)
BibRef
Mao, X.L.[Xiao-Long],
Yuan, H.[Hui],
Guo, T.[Tian],
Jiang, S.Q.[Shi-Qi],
Hamzaoui, R.[Raouf],
Kwong, S.[Sam],
SPAC: Sampling-Based Progressive Attribute Compression for Dense
Point Clouds,
IP(34), 2025, pp. 2939-2953.
IEEE DOI Code:
WWW Link.
2505
Point cloud compression, Image coding, Encoding, Transform coding,
Octrees, Geometry, Feature extraction, Transforms, Standards,
immersive communication
See also Geometric Prior Based Deep Human Point Cloud Geometry Compression.
BibRef
Zhang, Y.[Yun],
Chen, F.F.[Fei-Fan],
Li, N.[Na],
Guo, Z.W.[Zhi-Wei],
Wang, X.[Xu],
Miao, F.[Fen],
Kwong, S.[Sam],
Deep Learning-Based Joint Geometry and Attribute Up-Sampling for
Large-Scale Colored Point Clouds,
IP(35), 2026, pp. 1305-1320.
IEEE DOI Code:
WWW Link.
2602
Point cloud compression, Geometry, Feature extraction, Correlation,
Semantics, Interpolation, Image edge detection, Deep learning,
deep learning
See also Geometric Prior Based Deep Human Point Cloud Geometry Compression.
BibRef
Teng, Q.[Qi],
Shen, L.Q.[Li-Quan],
Wang, F.F.[Fei-Feng],
Li, M.Y.[Meng-Yao],
Chen, M.J.[Min-Jian],
Bézier Surface-Guided Sampling Space Constraint for Neural Point
Cloud Geometry Compression,
SPLetters(32), 2025, pp. 2559-2563.
IEEE DOI
2507
Point cloud compression, Surface fitting, Surface reconstruction,
Fitting, Geometry, Shape, Quantization (signal), Bit rate, Training,
sampling space constraint
BibRef
Zhou, C.[Ce],
Ling, Q.[Qiang],
Dual Geometry Learning and Adaptive Sparse Attention for Point Cloud
Analysis,
CirSysVideo(35), No. 9, September 2025, pp. 9075-9089.
IEEE DOI Code:
WWW Link.
2509
Point cloud compression, Feature extraction, Transformers, Geometry,
Semantics, Attention mechanisms, Convolution, Training, sparse attention
BibRef
Wang, Z.[Zehan],
Wei, Y.X.[Yu-Xuan],
Lee, J.S.[Jong-Seok],
Hur, H.[Hyejung],
Yuan, H.[Hui],
Chroma Subsampling for Enhanced Geometry-Based Point Cloud
Compression,
SPLetters(32), 2025, pp. 3255-3259.
IEEE DOI
2509
Point cloud compression, Encoding, Image color analysis, Decoding,
Transform coding, Image resolution, Entropy, Video compression,
chroma subsampling
BibRef
Chen, Z.[Zejia],
Yuan, H.[Hui],
Mekki, H.A.S.[Huda Adam Sirag],
Hassan, M.M.G.[Mohanad M.G.],
Zhang, G.H.[Guang-Hui],
DeepJSCC-PCG: Deep Joint Source Channel Coding for Point Cloud
Geometry,
SPLetters(32), 2025, pp. 4064-4068.
IEEE DOI
2511
Point cloud compression, Feature extraction, Convolution, Octrees,
Vectors, Encoding, Decoding, Semantic communication, Channel coding,
deep learning
BibRef
Cao, Y.[Yimo],
Zhang, W.[Wei],
Huo, X.[Xiao],
Yang, F.Z.[Fu-Zheng],
Entropy Modeling With Voxel Grouping and Cross-Group Attention for
Point Cloud Geometry Compression,
SPLetters(32), 2025, pp. 4154-4158.
IEEE DOI
2511
Point cloud compression, Encoding, Convolution, Attention mechanisms,
Geometry, Correlation, Feature extraction, attention
BibRef
Zhang, Y.[Yi],
Zhang, W.[Wei],
Ma, W.[Wanhao],
Yang, F.Z.[Fu-Zheng],
Uni4DPC: A Unified 4D Sparse Tensor Network for Intra- and
Inter-Frame Dynamic Point Cloud Geometry Compression,
SPLetters(32), 2025, pp. 4329-4333.
IEEE DOI
2512
Point cloud compression, Encoding, Convolution, Feature extraction,
Tensors, Switches, Geometry, Solid modeling, Network architecture,
bidirectional feature propagation
BibRef
Zhao, P.[Pan],
Yuan, H.[Hui],
Tian, C.Z.[Chong-Zhen],
Guo, T.[Tian],
Hamzaoui, R.[Raouf],
Pan, Z.[Zhigeng],
UGAE: Unified Geometry and Attribute Enhancement for G-PCC Compressed
Point Clouds,
IP(35), 2026, pp. 888-903.
IEEE DOI Code:
WWW Link.
2602
Geometry, Point cloud compression, Image coding, Distortion,
Feature extraction, Convolutional codes, Image reconstruction, frequency
BibRef
Ma, W.[Wanhao],
Zhang, W.[Wei],
Wan, S.[Shuai],
Yang, F.Z.[Fu-Zheng],
Deep G-PCC Geometry Preprocessing via Joint Optimization With a
Differentiable Codec Surrogate for Enhanced Compression Efficiency,
IP(35), 2026, pp. 1052-1065.
IEEE DOI
2602
Point cloud compression, Image coding, Geometry, Codecs, Octrees,
Decoding, Image reconstruction, Training, Rate-distortion,
joint optimization
BibRef
Liu, W.[Wang],
Li, Z.Z.[Zhuang-Zi],
Li, G.[Ge],
Ma, S.W.[Si-Wei],
Kwong, S.[Sam],
Gao, W.[Wei],
Post-Processing Geometry Enhancement for G-PCC Compressed LiDAR via
Cylindrical Densification,
IP(35), 2026, pp. 1066-1081.
IEEE DOI
2602
Point cloud compression, Laser radar, Image coding, Geometry,
Distortion, Noise reduction, Convolution, Real-time systems,
deep learning
BibRef
Chen, M.J.[Min-Jian],
Shen, L.Q.[Li-Quan],
Teng, Q.[Qi],
Wang, S.W.[Shi-Wei],
Wang, F.F.[Fei-Feng],
DBA-PCGC: Dual-Domain Boundary Aware for Task-Friendly Point Cloud
Geometry Compression,
SPLetters(33), 2026, pp. 713-717.
IEEE DOI
2602
Point cloud compression, Semantics, Chebyshev approximation,
Transforms, Convolution, Nearest neighbor methods, Geometry,
semantic boundary preservation
BibRef
Li, X.[Xin],
Li, S.H.[Shao-Hui],
Dai, W.R.[Wen-Rui],
Li, H.[Han],
Kan, N.[Nuowen],
Li, C.L.[Cheng-Lin],
Zou, J.[Junni],
Xiong, H.K.[Hong-Kai],
Point Cloud Attribute Compression With Geometry-Aware Lifting-Based
Multiscale Networks,
CirSysVideo(36), No. 1, January 2026, pp. 1143-1159.
IEEE DOI
2602
Point cloud compression, Transforms, Geometry, Transform coding,
Videos, Redundancy, Fitting, Tensors, Standards,
multiscale representation
BibRef
Jiang, Z.[Zhaoyi],
Xu, Y.[Yi],
Li, F.W.B.[Frederick W.B.],
Tam, G.K.L.[Gary K.L.],
Song, C.[Chao],
Yang, B.[Bailin],
OctMamba: Mamba-based octree context entropy model for point cloud
geometry compression,
PR(175), 2026, pp. 113113.
Elsevier DOI Code:
WWW Link.
2603
Point cloud compression, State space models,
Multi-dimensional redundancy, Occupancy-probability modeling
BibRef
Wang, Z.[Zehan],
Guo, T.[Tian],
Sun, Z.X.[Ze-Xing],
Wei, Y.X.[Yu-Xuan],
Liu, H.[Hao],
Yuan, H.[Hui],
Layer-Based Rate-Distortion Optimized Attribute Coding for Solid
Geometry-Based Point Cloud Compression,
CirSysVideo(36), No. 4, April 2026, pp. 5553-5566.
IEEE DOI
2604
Transforms, Point cloud compression, Geometry,
Peer-to-peer computing, Encoding, Solids, Binary sequences, Octrees,
3D point cloud
BibRef
Huo, X.[Xiao],
Zhang, W.[Wei],
Yang, F.Z.[Fu-Zheng],
Learned Point Cloud Attribute Compression With Cross-Scale Point
Transformer and Geometry-Aware Context Prediction Entropy Model,
CirSysVideo(36), No. 4, April 2026, pp. 5538-5552.
IEEE DOI Code:
WWW Link.
2604
Point cloud compression, Convolution, Image coding, Geometry,
Correlation, Feature extraction, Transformers, entropy model
BibRef
Ma, Y.Z.[Yang-Zhi],
Liu, B.[Bojun],
Li, L.[Li],
Liu, D.[Dong],
Li, Z.[Zhu],
Joint Geometry-Attribute Point Cloud Compression with Spatial Context
Mining and Dual-Class Attribute Loss,
ICIP25(480-485)
IEEE DOI
2601
Point cloud compression, Geometry, Image coding,
Computational modeling, Redundancy, Rate-distortion,
Spatial context
BibRef
Xu, H.[Hao],
Zhang, X.[Xi],
Wu, X.L.[Xiao-Lin],
Fast Point Cloud Geometry Compression with Context-based Residual
Coding and INR-based Refinement,
ECCV24(LXVIII: 270-288).
Springer DOI
2412
BibRef
Xu, Y.Z.[Ying-Zhan],
Zhang, K.[Kai],
Zhang, L.[Li],
Weighted Average Prediction for Region Adaptive Hierarchical
Transform in Solid Geometry Point Cloud Compression,
ICIP25(391-396)
IEEE DOI
2601
Point cloud compression, Geometry, Image coding,
Image color analysis, Octrees, Transforms, Solids, Real-time systems,
Average prediction
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ICIP24(1910-1915)
IEEE DOI
2411
Point cloud compression, Solid modeling, Adaptation models,
Image coding, Transform coding, Transforms, Solids, Point clouds,
sample domain prediction
BibRef
Zhang, Y.T.[Yu-Tong],
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Context-Adaptive Entropy Model with Adapters for Lossless Point Cloud
Geometry Compression,
ICIP24(3519-3525)
IEEE DOI
2411
Point cloud compression, Geometry, Adaptation models, Image coding,
Predictive models, Feature extraction, Entropy, Lossless Compression
BibRef
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Point Cloud Geometry Scalable Coding with a Quality-Conditioned
Latents Probability Estimator,
ICIP24(3410-3416)
IEEE DOI
2411
Point cloud compression, Geometry, Visualization, Codecs,
Image coding, Scalability, Transform coding, Point cloud coding,
JPEG PCC standard
BibRef
Zhou, Q.Y.[Qing-Yang],
Liu, S.[Shan],
Kuo, C.C.J.[C.C. Jay],
GPCGC: A Green Point Cloud Geometry Coding Method,
ICIP23(480-484)
IEEE DOI
2312
BibRef
Komatsu, O.T.[Otho T.],
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Multithreaded Algorithms for Lossless Intra Compression of Point
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ICIP23(1880-1884)
IEEE DOI
2312
BibRef
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HM-PCGC: A Human-Machine Balanced Point Cloud Geometry Compression
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ICIP23(2265-2269)
IEEE DOI
2312
BibRef
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Bi-Directional Inter-Prediction For Geometry-Based Point Cloud
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ICIP22(3768-3772)
IEEE DOI
2211
Point cloud compression, Geometry, Optical fibers, Image coding,
Codes, Quantization (signal), point cloud compression, Inter-EM,
hierarchical QP values
BibRef
Milani, S.,
A Syndrome-Based Autoencoder For Point Cloud Geometry Compression,
ICIP20(2686-2690)
IEEE DOI
2011
Decoding, Encoding, Geometry,
Correlation, Convolutional codes, Image reconstruction,
UNet
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Motion and Video Coding: General .