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3D Question Answering on ScanQA (val)

107.1CIDErCVP
91.08495.24299.4103.558Jan 2, 2025Apr 3, 2025Jul 4, 2025Oct 4, 2025Jan 4, 2026Apr 6, 2026Jul 7, 2026

Evaluation results

MethodLinks
CVP2025.12107.1—17.820.850.931.2————————
CVPMethod Type=3D LMMs2026.05107.1—17.820.850.931.2————————
CVPModel category=3D LMMs2026.05107.1—17.820.850.931.2————————
Ross3DPoint Encoder=No, Vision Encoder=Yes2026.02107—17.920.950.730.8————————
ROSS3D2026.03107—17.920.9————50.7—————
Ross3DModel Category=3D MLLMs2026.03107——20.950.730.8————————
Ross3DSupervision=Fully Supervised2026.0610749.217.920.950.730.833.724.9——————
Ross3DSupervision=Fully Supervised2026.06107—17.920.950.730.8————————
PolyV2026.03105.650.218.623.1————51.9—————
3DRS2026.03104.848.417.220.5————49.8—————
3DRSModel Category=3D MLLMs2026.03104.8——20.549.830.3————————
3DRSVision modal.=I, # of tokens=80002026.05104.8————30.3————————
3DRSSupervision=Fully Supervised2026.06104.848.417.220.549.830.332.723.8——————
3DRSSupervision=Fully Supervised2026.06104.8—17.220.549.830.3————————
UniMVU†Size=7B, Training Protocol=unified multi-task training2026.05104.2—17.820.1————49——29.248.8—
LLaVA-3DInput 2D=true, Input 3D=true2026.03103.1—16.420.8—30.6——49.6—————
LLaVA-3DVenue=ICCV’25, Input=RGBD2026.06103.1—16.420.849.6——————30.6——
UniMVUSize=7B, Training Protocol=task-specific training2026.05102.7—1619.8————49——29.648.8—
PAVE*Size=7B2026.05102.4—1619.8————48.8——28.948.2—
Video-3D-LLM2025.12102.1—16.219.84930.1————————
Video-3D-LLMPoint Encoder=No, Vision Encoder=Yes2026.02102.1—16.42049.330.1————————
Video-3D-LLM2026.03102.1—16.420————49.3—————
Video-3D LLMInput 2D=true, Input 3D=true2026.03102.147.116.219.8—30.131.722.849—————
Video-3D-LLMModel Category=3D MLLMs2026.03102.1——2049.330.1————————
Video-3D LLMVideo Input Only=false2025.05102.147.116.219.8————49—————
3D-IDE2026.03102.147.517.420.8—29.832.923.748.8—————
Video-3D-LLMVision modal.=I, # of tokens=80002026.05102.1————30.1————————
Video-3D-LLMMethod Type=3D LMMs2026.05102.1—16.219.84930.1————————
Video-3D-LLMModel category=3D LMMs2026.05102.1—16.219.84930.1————————
Video-3D LLMModel Category=3D/2.5D-Input Models, Video-Input Only=false2025.05102.147.116.219.8————49—————
Video-3D LLMInput Modality=3D/2.5D-Input Models2025.05102.147.116.219.8—30.131.722.849—————
Video-3DBackbone=LLavAVideo-7B, input frames=322026.06102.147.116.219.8————49—————
Video-3D-LLMVenue=CVPR’25, Input=RGBD2026.06102.1—15.819.849——————30.1——
Video-3D LLMSupervision=Fully Supervised2026.06102.147.116.119.84930.131.722.8——————
Video-3D LLMSupervision=Fully Supervised2026.06102.1—16.319.84930.1————————
Video-3D LLMInput Modality=3D/2.5D-Input Models2026.07102.147.116.219.8——31.722.849——30.1——
Video 3D-LLM2026.0310247.0516.1719.84—30.131.722.8349.02—————
VLM-3RVideo Input Only=true2025.05101.946.215.519.7————49.1—————
SpaR3D-MoEInput Modality=Video-Input Models2026.07101.546.417.119.5——31.623.348.6——30.4——
LEOModality=PC+I, Model Type=3D LMM2025.01101.4—13.220————49.2—————
LEOModality=PC+I, Model Category=3D LMM, Setting=Ground-truth object information2025.11101.4—13.220————49.2—————
LEO2025.12101.4—13.22049.224.5————————
LEOMethod Type=3D LMMs2026.05101.4—13.22049.224.5————————
LEOModel category=3D LMMs2026.05101.4—13.22049.224.5————————
LEOcategory=Generalist 3D-MLLMs2026.06101.4—13.220————49.2—————
LEOSupervision=Fully Supervised2026.06101.4—13.22049.224.5————————
LEOSupervision=Fully Supervised2026.06101.4—13.22049.224.5————————
3DRS*2026.03101.347.916.920.2—29.732.523.848.3—————
KeyVTBackbone=LLaVAVideo-7B, input frames=8eq2026.06100.746.614.519.4————48.8—————
Video-3DBackbone=LLavAVideo-7B, input frames=162026.06100.6—————————————
baseline2026.03100.546.916.219.6—29.531.322.748.8—————
Motion-MLLM-4BInput 2D=true, Input M=true2026.03100.446.515.820.3—29.831.222.248—————
Loc3R-VLMModel Category=2D MLLMs2026.03100.4——19.547.928.2————————
LEO-VLVision modal.=D,I, # of tokens=7502026.05100.4————22.6————————
Video-3D LLMSampling Strategy=MC, Strategy=Fine-tuned2026.07100.3————29.8————————
Occ-VLMInput=RGB2026.06100—15.719.548.2——————29.6——
Video-3D LLMEvaluation Protocol=Fine-tuned, Online Sampling=true, Sampling Strategy=Uniform2026.0799.6————29.6————————
FLoCBackbone=LLaVAVideo-7B, input frames=8eq2026.0699.446.410.919.3————48.5—————
DivPruneBackbone=LLaVAVideo-7B, input frames=8eq2026.0699.146.212.319.3————48.5—————
AKSBackbone=LLaVAVideo-7B, input frames=82026.069945.712.619.2————48.1—————
Uni3D-MoE2026.0397.643.717.519————47.1—————
Video-3DBackbone=LLavAVideo-7B, input frames=82026.0696.4—————————————
GPT4Scene-HDMInput 2D=true, Input 3D=true2026.0396.344.415.518.9—28.230.322.346.5—————
GPT4SceneModel Category=2D MLLMs2026.0396.3——18.946.528.2————————
PAR3Dcategory=Generalist 3D-MLLMs2026.0695.7—15.918.9————45—————
CoPE-VideoLM-7BPoint Encoder=No, Vision Encoder=Yes, Evaluation Protocol=Fine-tuned, Token Budget=25.48%2026.0295.1—14.118.74627.1————————
LLaVA-OV-FT (video-only)Size=7B2026.0595.1——13.5————47.4——27.446.3—
CdViewsModel Category=2D MLLMs2026.0394———46.830.1————————
cdViewsBackbone=LLaVA-OV-7B, input frames=92026.069442.6——————46.8—————
KeyVTBackbone=LLaVA-OV-7B, input frames=8eq2026.0693.841.712.417.9————46.7—————
Descrip3DVision modal.=I2026.0593.7————22.67————————
Proxy3DVision modal.=I, # of tokens=700, Backbone=Qwen2.5-VL-7B2026.0593.6————25.2————————
LLaVAVideo-7Binput frames=82026.0693.443.912.218.4————45.9—————
MoE3DModality=PC, Model Category=3D LMM2025.1192.7—15.818.4————43.5—————
3D-LLaVAModality=PC, Model Type=3D LMM2025.0192.6—17.118.4————43.1—————
3D-LLaVAModality=PC, Model Category=3D LMM2025.1192.6—17.118.4————43.1—————
3D-LLaVAModel Category=3D MLLMs2026.0392.6——18.443.1—————————
3D-LLaVALLMs=Vicuna-1.5-7B [9], #Params=58.26M, FLOP=37.752026.0292.6—17.118.443.1—————————
3D-LLaVAVideo Input Only=false2025.0592.6—17.118.4————43.1—————
3D-LLaVAModel Category=3D/2.5D-Input Models, Video-Input Only=false2025.0592.6—17.118.4————43.1—————
3D-LLaVAInput Modality=3D/2.5D-Input Models2025.0592.6—17.118.4————43.1—————
3D-LLaVAinput frames=–2026.0692.6—17.118.4————43.1—————
3D-LLaVAcategory=Generalist 3D-MLLMs2026.0692.6—17.118.4————43.1—————
3D-LLaVAInput Modality=3D/2.5D-Input Models2026.0792.6—17.118.4————43.1—————
Struct2DModel Category=2D MLLMs2026.0392.1——17.444.1—————————
Spatial-MLLM2026.0391.844.414.818.4————45—————
Spatial-MLLMInput 2D=true2026.0391.844.414.818.4—26.328.821.945—————
SpatialMLLM-4BModel Category=2D MLLMs2026.0391.8——18.44526.3————————
Spatial-MLLM-4BVideo Input Only=true2025.0591.844.414.818.4————45—————
Spatial-MLLM-4BVision modal.=I, # of tokens=31002026.0591.8————26.3————————
Spatial-MLLM-4BModel Category=Video-Input Models, Video-Input Only=true2025.0591.844.414.818.4————45—————
Spatial-MLLM-4BInput Modality=Video-Input Models2025.0591.844.414.818.4—26.328.82145—————
Spatial-MLLMVenue=NIPS’25, Input=RGB2026.0691.8—14.818.445——————26.3——
Spatial-MLLMInput Modality=Video-Input Models2026.0791.844.414.818.4——28.821.945——26.3——
Fase3DLLMs=Vicuna-1.5-7B [9], #Params=12.11M, FLOP=2.092026.0291.74—16.8718.6143.37—————————
LLaVA-3D2025.1291.7—14.520.750.127————————
LLaVA-3DPoint Encoder=No, Vision Encoder=Yes2026.0291.7—14.520.750.127————————
LLaVA-3D2026.0391.7—14.520.7————50.1—————
LLaVA-3DModel Category=3D MLLMs2026.0391.7——20.750.127————————
LLaVA-3D2026.0391.7—14.520.7—27——50.1—————