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3D Question Answering on ScanQA v1.0 (test)

23BLEU-4C2RoPE
2.27.61318.4Mar 25, 2025Jun 4, 2025Aug 15, 2025Oct 25, 2025Jan 5, 2026Mar 17, 2026May 28, 2026

Evaluation results

MethodLinks
C2RoPEModel Category=Ours2026.0223109.834.152.631.3—
GR3D-8BParameters=8B, Backbone=Qwen-2-7B, Input Resolution=4482026.0518.1105.1——29.2—
Ross3DModel Category=3D LLMs2026.0217.910720.950.730.8—
3D-LLaVA2026.0517.192.6————
Video-3D-LLMModel Category=3D LLMs2026.0216.4102.12049.330.1—
Video-3D LLM2026.0516.2102.1——30.1—
PAVE-7B (w/ 3D info)Mode=Task-specific, TFLOPS=98.68, Total Params=8.2B, Trainable Params=170.3M2025.0316103.419.94929.148.5
SPAR2026.0515.390.7——27.7—
LLaVA-3D-7BMode=Task-specific2025.0314.591.720.750.12745
LLaVA-3DModel Category=3D LLMs2026.0214.591.720.750.127—
ChatSceneModel Category=3D LLMs2026.0214.387.71841.621.6—
LLaVA-OV-7B-FTMode=Task-specific, TFLOPS=98.53, Total Params=8.2B, Trainable Params=161.5M2025.0313.595.119.147.427.446.3
Grounded 3D-LLMModel Category=3D LLMs2026.0213.4——72.7——
AdaToken-3DModel Category=3D LLMs2026.0213.391.817.644.730—
LEO-7BMode=Task-specific2025.0313.2101.42049.224.547.6
LEOModel Category=3D LLMs2026.0213.2101.42049.224.5—
3D-LLM-7BMode=Task-specific2025.0312.974.515.137.521.2—
Scene-LLM-7BMode=Task-specific2025.03128016.64027.2—
3D-LLMModel Category=3D LLMs2026.021269.414.535.720.5—
Scene-LLMModel Category=3D LLMs2026.02128016.64027.2—
3D-VLPModel Category=Expert Models2026.0211.2—13.534.521.1—
ScanQAModel Category=Expert Models2026.0210.164.913.133.321.1—
VideoChat2-7BMode=Zero-shot2025.039.649.29.528.219.2—
Chat-3DModel Category=3D LLMs2026.026.453.211.928.5——
LLaVA-OV-7BMode=Zero-shot, TFLOPS=98.53, Total Params=8.2B2025.035.39118.245.926.744.3
InternVl2-8BModel Category=2D LLMs2026.023.362.514.534.3——
LLaVA-Video-7BModel Category=2D LLMs2026.023.188.717.744.6——
Qwen2-Vl-7BModel Category=2D LLMs2026.02353.911.429.3——
3D-VisTAModel Category=Expert Models2026.02——13.935.722.4—
LL3DAModel Category=3D LLMs2026.02—8015.935.9——