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3D Dense Captioning on Scan2Cap (test)

86.1CIDEr@0.53DRS
37.2249.9162.675.29Sep 29, 2025

Evaluation results

MethodLinks
3DRSModel Type=3D-based models2025.0986.1————41.628.962.3
LLaVA-3DModel Type=3D-based models2025.0984.1————42.62963.4
Video-3D LLMModel Type=3D-based models2025.0983.8————42.428.962.3
Vid-LLMModel Type=Video-based models2025.0981.5————40.928.761.8
VGLLMModel Type=Video-based models2025.0978.6————40.928.662.4
ChatSceneModel Type=3D-based models2025.0977.1————36.32858.1
3DRSModel Type=Video-based models, VGGT-generated 3D geometry=true2025.0976.4————39.627.357.1
Grounded3D-LLMModel Type=3D-based models2025.0970.2————35——
LEOModel Type=3D-based models2025.0968.4————36.927.757.8
Scan2CapModel Type=3D-based models2025.0939.1————23.32244.8
3D-VisTAIoU threshold=0.5, Training Protocol=single dataset2024.05—66.93427.154.3———
3DJCGIoU threshold=0.5, Training Protocol=single dataset2024.05—47.731.524.351.8———
PQ3DIoU threshold=0.5, Training Protocol=single dataset2024.05—75.634.428.657.1———
PQ3DIoU threshold=0.5, Training Protocol=unified training2024.05—80.33629.157.9———
Scan2CapIoU threshold=0.5, Training Protocol=single dataset2024.05—35.222.421.443.5———