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ResearchFormerly WizWand

3D Computer Vision Benchmarking on CVBench3D

86AccuracyINTERNVL3-8B + PGT
50.22459.51268.878.088Dec 17, 2025Jan 12, 2026Feb 7, 2026Mar 5, 2026Mar 31, 2026Apr 26, 2026May 22, 2026
Updated 5mo ago

Evaluation results

MethodLinks
INTERNVL3-8B + PGTBackbone=INTERNVL3-8B, Data=PGT-augmented2026.0586
INTERNVL3-8BBackbone=INTERNVL3-8B2026.0585.7
QWEN2.5-VL-7B + PGTBackbone=QWEN2.5-VL-7B, Data=PGT-augmented2026.0584.6
QWEN2.5-VL-7BBackbone=QWEN2.5-VL-7B2026.0583.5
IMAGE JIGSAWMethod=IMAGE JIGSAW2026.0583
QWEN2.5-VL-7B + SPECIALIZED MIXBackbone=QWEN2.5-VL-7B, Data=Specialized Mix2026.0582.5
THINKLITE-VLMethod=THINKLITE-VL2026.0580.5
QWEN2.5-VL-3B + SPECIALIZED MIXBackbone=QWEN2.5-VL-3B, Data=Specialized Mix2026.0579.9
QWEN2.5-VL-3B + PGTBackbone=QWEN2.5-VL-3B, Data=PGT-augmented2026.0579.3
LLAVA-NEXT-LLAMA3-8B + PGTBackbone=LLAVA-NEXT-LLAMA3-8B, Data=PGT-augmented2026.0577.3
VIGORL-3BMethod=VIGORL-3B2026.0577.3
SPATIAL-LADDER-3BMethod=SPATIAL-LADDER-3B2026.0574.9
JARVISLLM=Qwen2-7B2025.1273
QWEN2.5-VL-3BBackbone=QWEN2.5-VL-3B2026.0571.5
LLAVA-NEXT-LLAMA3-8BBackbone=LLAVA-NEXT-LLAMA3-8B2026.0568.3
Ours w/o MaskingLLM=Qwen2-7B2025.1267.6
LLaVALLM=Qwen2-7B2025.1266.8
JARVISLLM=Vicuna-7B2025.1263.8
LLaVALLM=Vicuna-7B2025.1263.7
VIRALLLM=Qwen2-7B2025.1262.3
Ours w/o MaskingLLM=Vicuna-7B2025.1260.8
VIRALLLM=Vicuna-7B2025.1260
LLAVA-NEXT-7B + PGTBackbone=LLAVA-NEXT-7B, Data=PGT-augmented2026.0559.9
LLAVA-NEXT-7BBackbone=LLAVA-NEXT-7B2026.0551.6