Shape Representation Of 3D Point Clouds on ModelNet40

Metric: ModelNet40 (Average) (higher is better)

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#	Model↕	ModelNet40 (Average)▼	Extra Data	Paper	Date↕	Code
1	MiniGPT-3D	60.86	No	MiniGPT-3D: Efficiently Aligning 3D Point Clouds...	2024-05-02	Code
2	ShapeLLM-7B	53.08	No	ShapeLLM: Universal 3D Object Understanding for ...	2024-02-27	Code
3	ShapeLLM-13B	52.96	No	ShapeLLM: Universal 3D Object Understanding for ...	2024-02-27	Code
4	PointLLM-13B v1.2	52.78	No	PointLLM: Empowering Large Language Models to Un...	2023-08-31	Code
5	PointLLM-7B v1.2	52.63	No	PointLLM: Empowering Large Language Models to Un...	2023-08-31	Code
6	Point-Bind LLM	45.81	No	Point-Bind & Point-LLM: Aligning Point Cloud wit...	2023-09-01	Code

#1MiniGPT-3DSOTA
60.86
ModelNet40 (Average)· 2024-05-02
MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors Code
#2ShapeLLM-7BSOTA
53.08
ModelNet40 (Average)· 2024-02-27
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction Code
#3ShapeLLM-13B
52.96
ModelNet40 (Average)· 2024-02-27
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction Code
#4PointLLM-13B v1.2SOTA
52.78
ModelNet40 (Average)· 2023-08-31
PointLLM: Empowering Large Language Models to Understand Point Clouds Code
#5PointLLM-7B v1.2
52.63
ModelNet40 (Average)· 2023-08-31
PointLLM: Empowering Large Language Models to Understand Point Clouds Code
#6Point-Bind LLM
45.81
ModelNet40 (Average)· 2023-09-01
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following Code