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Generative 3D Object Classification On 2
Metrics
ModelNet40 (Average)
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| MiniGPT-3D | 60.86 | MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors | |
| ShapeLLM-7B | 53.08 | ShapeLLM: Universal 3D Object Understanding for Embodied Interaction | |
| ShapeLLM-13B | 52.96 | ShapeLLM: Universal 3D Object Understanding for Embodied Interaction | |
| PointLLM-13B v1.2 | 52.78 | PointLLM: Empowering Large Language Models to Understand Point Clouds | |
| PointLLM-7B v1.2 | 52.63 | PointLLM: Empowering Large Language Models to Understand Point Clouds | |
| Point-Bind LLM | 45.81 | Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following |
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