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V2Xum-LLM
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# V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning (AAAI 2025) [**🌐 Homepage**](https://hanghuacs.github.io/v2xum/) | [**🔬 Paper**](https://arxiv.org/pdf/2404.12353.pdf) | [**👩💻 Code**](https://github.com/hanghuacs/V2Xum-LLM) | [**📊 Dataset**](https://huggingface.co/datasets/hhua2/Instruct-V2Xum) | [**🤗 Model**](https://huggingface.co/hhua2/V2Xum-LLM) ## Usage ### Preparation ```bash conda create -n v2xumllm python=3.9 -y ``` ```bash conda activate v2xumllm ``` ### Demo ``` python -m v2xumllm.inference ``` ## ✏️ Citation ```bibtex @article{hua2024v2xum, title={V2xum-llm: Cross-modal video summarization with temporal prompt instruction tuning}, author={Hua, Hang and Tang, Yunlong and Xu, Chenliang and Luo, Jiebo}, journal={arXiv preprint arXiv:2404.12353}, year={2024} } ```
