Generative 3D Object Classification On 1
評価指標
Objaverse (Average)
Objaverse (C)
Objaverse (I)
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | Objaverse (Average) | Objaverse (C) | Objaverse (I) | Paper Title | Repository |
|---|---|---|---|---|---|
| PointLLM-13B v1.2 | 54.00 | 51.50 | 56.50 | PointLLM: Empowering Large Language Models to Understand Point Clouds | - |
| MiniGPT-3D | 60.25 | 60.50 | 60.00 | MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors | - |
| ShapeLLM-13B | 54.00 | - | - | ShapeLLM: Universal 3D Object Understanding for Embodied Interaction | - |
| ShapeLLM-7B | 54.50 | - | - | ShapeLLM: Universal 3D Object Understanding for Embodied Interaction | - |
| 3D-LLM | 45.25 | 41.50 | 49.00 | 3D-LLM: Injecting the 3D World into Large Language Models | - |
| PointLLM-7B v1.2 | 53.00 | 51.00 | 55.00 | PointLLM: Empowering Large Language Models to Understand Point Clouds | - |
| Point-Bind LLM | 5.25 | 4.50 | 6.00 | Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following | - |
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