LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression

Language models are few-shot learners

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Scaling laws for neural language models

Original

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Shapenet: An information-rich 3d model repository

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Microsoft voxelized upper bodies-a voxelized point cloud dataset

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8i voxelized full bodies-a voxelized point cloud dataset

d’Eon, E.; Harrison, B.; Myers, T.; and Chou, P. A. 2017 · 2017

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Owlii dynamic human mesh sequence dataset

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Common test conditions for point cloud compression

Schwarz, S.; Martin-Cocher, G.; Flynn, D.; and Budagavi, M. 2018 · 2018

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Neural network modeling of probabilities for coding the octree representation of point clouds

Kaya, E. C.; and Tabus, I. 2021 · 2021

Cited alongside, same era.

Multiscale deep context modeling for lossless point cloud geometry compression

Nguyen, D. T.; Quach, M.; Valenzise, G.; and Duhamel, P. 2021b · 2021

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Voxelcontext-net: An octree based framework for point cloud compression

Que, Z.; Lu, G.; and Xu, D. 2021 · 2021

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Octattention: Octree-based large-scale contexts model for point cloud compression

Fu, C.; Li, G.; Song, R.; Gao, W.; and Liu, S. 2022 · 2022

Cited alongside, same era.

Sparse tensor-based multiscale representation for point cloud geometry compression

Wang, J.; Ding, D.; Li, Z.; Feng, X.; Cao, C.; and Ma, Z. 2022 · 2022

Cited alongside, same era.

3d-llm: Injecting the 3d world into large language models

Llama: Open and efficient foundation language models

Original

Touvron, H.; Lavril, T.; Izacard, G.; Martinet, X.; Lachaux, M.-A.; Lacroix, T.; Rozière, B.; Goyal, N.; Hambro, E.; Azhar, F.; et al. 2023 · 2023

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Llmzip: Lossless text compression using large language models

Original

Valmeekam, C. S. K.; Narayanan, K.; Kalathil, D.; Chamberland, J.-F.; and Shakkottai, S. 2023 · 2023

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Pointllm: Empowering large language models to understand point clouds

Original

Xu, R.; Wang, X.; Wang, T.; Chen, Y.; Pang, J.; and Lin, D. 2023 · 2023

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ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model

Original

Yin, F.; Chen, X.; Zhang, C.; Jiang, B.; Zhao, Z.; Fan, J.; Yu, G.; Li, T.; and Chen, T. 2023 · 2023

Later among the works it cites.