JunJiaGuo/VidComposition_Benchmark

VidComposition Benchmark 🖥 Project Page | 🚀 Evaluation Space | 📄 Paper Link | 💻 Github The advancement of Multimodal Large Language Models (MLLMs) has enabled significant progress in multimodal understanding, expanding their capacity to analyze video content. However, existing evaluation benchmarks for MLLMs primarily focus on abstract video comprehension, lacking a detailed assessment of their ability to understand video compositions, the nuanced interpretation of how visual… See the full description on the dataset page: https://huggingface.co/datasets/JunJiaGuo/VidComposition_Benchmark.

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