| # Narrations / Steps to Video Aligner (NSVA) | |
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| NSVA is a lightweight Transformer-based architecture, where the narration or procedural steps are used as queries, to iteratively attend the video features, and output the alignability or optimal temporal windows. | |
| [[project page]](https://lzq5.github.io/Video-Text-Alignment/) | |
| [[Arxiv]](https://arxiv.org/abs/2312.14055) | |
| [[GitHub]](https://github.com/Lzq5/Video-Text-Alignment) | |
| We provide pre-trained models for HTM-Align and HT-Step. You can use these two models for reproducing our results, following our [[code]](https://github.com/Lzq5/Video-Text-Alignment). |