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3DAC: Learning Attribute Compression for Point Clouds

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 45× · AI/ML
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scholarly article[2]

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Authored by 5
Guangchi Fang, Hanyun Wang, Qingyong Hu, Yiling Xu, Yulan Guo
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Guangchi Fang, Hanyun Wang, Qingyong Hu, Yiling Xu, Yulan Guo
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Summary

3DAC: Learning Attribute Compression for Point Clouds is a scholarly article[1].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). 3DAC: Learning Attribute Compression for Point Clouds. Retrieved May 24, 2026, from https://4ort.xyz/entity/3dac-learning-attribute-compression-for-point-clouds
MLA “3DAC: Learning Attribute Compression for Point Clouds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/3dac-learning-attribute-compression-for-point-clouds.
BibTeX @misc{4ortxyz_3dac-learning-attribute-compression-for-point-clouds_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{3DAC: Learning Attribute Compression for Point Clouds}}, year = {2026}, url = {https://4ort.xyz/entity/3dac-learning-attribute-compression-for-point-clouds}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 3DAC: Learning Attribute Compression for Point Clouds — https://4ort.xyz/entity/3dac-learning-attribute-compression-for-point-clouds (retrieved 2026-05-24)

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