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Paper Citation Record · LEDGER

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2506.09510.

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pith.paper-citation-record.v1
2506.09510 v1

Coverage vector

measured 31 of 31 reference resolution

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measured 31 of 31 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 77c82f3b-8784-4ac7-8bd5-173aedf117bb · outbound

This paper cites 8i voxelized full bodies version 2 – a voxelized point cloud dataset.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals 8i voxelized full bodies version 2 – a voxelized point cloud dataset

Reference 1

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Observation e5dfcb45-6a61-4410-933d-2860cfd77a89 · outbound

This paper cites Variational image compression with a scale hyperprior.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Variational image compression with a scale hyperprior

Reference 2

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Observation d502e113-5234-4071-b4c6-e24565865459 · outbound

This paper cites Vincent Poor, and Shlomo Shamai.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Vincent Poor, and Shlomo Shamai

Reference 3

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Observation 452e9b4c-28b8-4071-a6f1-d9793c76bb09 · outbound

This paper cites Chang, Thomas Funkhouser, Leonidas J.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Chang, Thomas Funkhouser, Leonidas J

Reference 4

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Observation ac090b19-b23e-495f-95aa-181f75522b53 · outbound

This paper cites Learned image compression with discretized gaussian mixture likelihoods and attention modules.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Learned image compression with discretized gaussian mixture likelihoods and attention modules

Reference 5

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Observation bf6fd636-8752-4354-af2a-bca328ca5748 · outbound

This paper cites CARNet:Compression Artifact Reduction for Point Cloud Attribute.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals CARNet:Compression Artifact Reduction for Point Cloud Attribute

Reference 6

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Observation ed63bc85-f60b-4e05-a6f7-5d43a3df26ee · outbound

This paper cites Oc- tattention: Octree-based large-scale contexts model for point cloud compression.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Oc- tattention: Octree-based large-scale contexts model for point cloud compression

Reference 7

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Observation 23d5ac3b-c04d-49ee-a200-516702aa9894 · outbound

This paper cites Tsc-pcac: V oxel transformer and sparse convolution- based point cloud attribute compression for 3d broadcasting.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Tsc-pcac: V oxel transformer and sparse convolution- based point cloud attribute compression for 3d broadcasting

Reference 8

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Observation 0ceb3124-b31d-4aea-bcfa-33be9b74e590 · outbound

This paper cites Checkerboard context model for effi- cient learned image compression.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Checkerboard context model for effi- cient learned image compression

Reference 9

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Observation e8686976-03a7-4ac4-9087-c086951e323e · outbound

This paper cites Elic: Efficient learned image compres- sion with unevenly grouped space-channel contextual adap- tive coding.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Elic: Efficient learned image compres- sion with unevenly grouped space-channel contextual adap- tive coding

Reference 10

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Observation ba8e4952-f452-4706-82e9-cb462ee6f8be · outbound

This paper cites Mlic++: Linear complexity multi-reference entropy modeling for learned image compression.arXiv preprint arXiv:2307.15421, 2023.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Mlic++: Linear complexity multi-reference entropy modeling for learned image compression.arXiv preprint arXiv:2307.15421, 2023

Reference 11

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Observation 44aa7c8d-6120-46f0-b292-c83813df12f9 · outbound

This paper cites Mlic: Multi-reference entropy model for learned image compression.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Mlic: Multi-reference entropy model for learned image compression

Reference 12

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Observation b4ddb36a-885a-4017-ae0c-e3602af38b87 · outbound

This paper cites Auto-Encoding Variational Bayes.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Auto-Encoding Variational Bayes

Reference 13

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Observation 9f0dc06b-2a5a-4f6f-b3fd-ae71993102d9 · outbound

This paper cites Mpeg geometry-based point cloud compression (g-pcc) standard.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Mpeg geometry-based point cloud compression (g-pcc) standard

Reference 14

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Observation a9bc5d42-4f7c-4ede-9ec9-18198e291f0f · outbound

This paper cites Mpeg video-based point cloud compression (v-pcc) standard.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Mpeg video-based point cloud compression (v-pcc) standard

Reference 15

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Observation 3bfecaae-65b7-43dd-b325-af26779642c8 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Microsoft COCO: Common Objects in Context

Reference 16

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Observation 693c2233-a3f2-4d4f-a581-ebfe78fc165c · outbound

This paper cites SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds

Reference 17

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Observation 2b318636-bc95-4a96-b766-b3768d85b735 · outbound

This paper cites V oxelized Upper Bodies – A V oxelized Point Cloud Dataset.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals V oxelized Upper Bodies – A V oxelized Point Cloud Dataset

Reference 18

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Observation bcb7cedd-f8b5-4667-9ae7-7ae6fe14f499 · outbound

This paper cites Channel-wise autoregres- sive entropy models for learned image compression.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Channel-wise autoregres- sive entropy models for learned image compression

Reference 19

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Observation 64396f48-962f-4d38-98c4-bb9f677bcd34 · outbound

This paper cites Joint autoregressive and hierarchical priors for learned im- age compression.Advances in neural information processing systems, 31, 2018.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Joint autoregressive and hierarchical priors for learned im- age compression.Advances in neural information processing systems, 31, 2018

Reference 20

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Observation 8dff4940-6333-4c4f-b4e2-678fa0d535b0 · outbound

This paper cites Laplacian matrix learning for point cloud attribute compression with ternary search-based adaptive block partition.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Laplacian matrix learning for point cloud attribute compression with ternary search-based adaptive block partition

Reference 21

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Observation 076d7d62-68fa-491a-93d9-c7bda601e5d7 · outbound

This paper cites Introduction to Arithmetic Coding -- Theory and Practice.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Introduction to Arithmetic Coding -- Theory and Practice

Reference 22

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Observation f5309e09-5b86-40ed-957c-a9d54edca811 · outbound

This paper cites Attribute compression of 3d point clouds using laplacian sparsity optimized graph transform.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Attribute compression of 3d point clouds using laplacian sparsity optimized graph transform

Reference 23

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Observation 9e2167f9-840d-4d67-8563-7ccebe5e2532 · outbound

This paper cites Fine-grained correlation representation for graph-based point cloud attribute compression.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Fine-grained correlation representation for graph-based point cloud attribute compression

Reference 24

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Observation cf50665d-8042-426e-baf0-afa2f7ff790b · outbound

This paper cites Efficient hier- archical entropy model for learned point cloud compression.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Efficient hier- archical entropy model for learned point cloud compression

Reference 25

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Observation 5d908237-9c26-4d78-a6d2-6e2f56af7513 · outbound

This paper cites Sparse tensor-based multi- scale representation for point cloud geometry compression.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Sparse tensor-based multi- scale representation for point cloud geometry compression

Reference 26

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Observation 74765394-7f8d-460e-b612-2e0309742c94 · outbound

This paper cites A versatile point cloud compressor using universal multiscale conditional coding – part ii: Attribute.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals A versatile point cloud compressor using universal multiscale conditional coding – part ii: Attribute

Reference 27

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Observation 222b5826-0a2e-4929-bb92-8c9fa7570b22 · outbound

This paper cites Image quality assessment: From error visibility to structural similarity.IEEE Transactions on Image Process- ing, 13(4):600–612, 2004.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Image quality assessment: From error visibility to structural similarity.IEEE Transactions on Image Process- ing, 13(4):600–612, 2004

Reference 28

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Observation 16c17eaa-eb00-4977-9759-66de1f5ecaf4 · outbound

This paper cites Pointatme: efficient 3d point cloud labeling in vir- tual reality.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Pointatme: efficient 3d point cloud labeling in vir- tual reality

Reference 29

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Observation 99835352-5c2f-4e3f-b42d-23e4689336e5 · outbound

This paper cites A lidar point cloud generator: from a virtual world to autonomous driving.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals A lidar point cloud generator: from a virtual world to autonomous driving

Reference 30

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Observation 5c28d513-10f8-45e2-a29f-98a1d71242d5 · outbound

This paper cites Scalable point cloud attribute compression.IEEE Trans- actions on Multimedia, 2023.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals Scalable point cloud attribute compression.IEEE Trans- actions on Multimedia, 2023

Reference 31

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