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Image Quality Assessment on QBench (test)

74.1AccuracyGPT-4V
53.92459.16264.469.638Nov 21, 2023Dec 2, 2023Dec 14, 2023Dec 25, 2023Jan 6, 2024Jan 17, 2024Jan 29, 2024

Evaluation results

MethodLinks
GPT-4V2024.0174.1—
InternLM-XComposer2LLM=InternLM2-7B2024.0172.5—
InternLM-XComposer2Number of Parameters=7B2024.0172.5—
Gemini-Pro2024.0170.6—
Qwen-VL-Plus2024.0168.9—
InternLM-XCLLM=InternLM-7B2024.0164.4—
Int-XCNumber of Parameters=8B2024.0164.4—
ShareGPT4V-7BLanguage Model=Vicuna-7B2023.1163.4—
LLaVA-1.5Language Model=Vicuna-13B2023.1162.1—
Qwen-VL-ChatLLM=Qwen-7B2024.0161.7—
LLaVA-1.5LLM=Vicuna-13B2024.0161.4—
Qwen-VLLanguage Model=Qwen-7B2023.1159.4—
LLaVA-1.5Language Model=Vicuna-7B2023.1158.7—
InstructBLIPLanguage Model=Vicuna-7B2023.1156.7—
InstructBLIPLLM=Vicuna-7B2024.0155.9—
ShikraLanguage Model=Vicuna-13B2023.1154.7—
LLaVALLM=Vicuna-7B2024.0154.7—
InstructBLIPLLM Backbone=Vicuna-7B2023.12—55.9
InternLM-XCLLM=InernLM-7B2024.04—64.4
IXC2-4KHDLLM=InernLM2-7B2024.04—71.8
IXC2-VLLLM=InernLM2-7B2024.04—72.5
LLaVALLM Backbone=Vicuna-7B2023.12—54.7
LLaVA-1.5LLM=Vicuna-13B2024.04—61.4
LLaVA-1.5LLM Backbone=Vicuna-13B2023.12—61.4
LyricsLLM Backbone=Vicuna-13B2023.12—72.5
Qwen-VL-ChatLLM=Qwen-7B2024.04—61.7
Qwen-VL-ChatLLM Backbone=Qwen-7B2023.12—61.7