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Video Based Generative Performance 1

评估指标

gpt-score

评测结果

各个模型在此基准测试上的表现结果

模型名称
gpt-score
Paper TitleRepository
VTimeLLM2.78VTimeLLM: Empower LLM to Grasp Video Moments
SlowFast-LLaVA-34B3.48SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
Chat-UniVi2.89Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
VideoChat23.02MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
TS-LLaVA-34B3.55TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models
Video Chat2.32VideoChat: Chat-Centric Video Understanding
Video-ChatGPT2.40Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
LLaMA Adapter2.03LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
BT-Adapter2.68BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
ST-LLM3.23ST-LLM: Large Language Models Are Effective Temporal Learners
PPLLaVA-7B3.85PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance-
BT-Adapter (zero-shot)2.16BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
VideoGPT+3.27VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
Video LLaMA1.96Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
VideoChat2_HD_mistral3.40MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
PLLaVA-34B3.60PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
MiniGPT4-video-7B3.08MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens
MovieChat2.76MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
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