OpenVid-1M

Summary This is the dataset proposed in our paper [**[ICLR 2025] OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation**](https://arxiv.org/abs/2407.02371). OpenVid-1M is a high-quality text-to-video dataset designed for research institutions to enhance video quality, featuring high aesthetics, clarity, and resolution. It can be used for direct training or as a quality tuning complement to other video datasets. All videos in the OpenVid-1M dataset have resolutions of at least 512×512. Furthermore, we curate 433K 1080p videos from OpenVid-1M to create OpenVidHD, advancing high-definition video generation. Project**: https://nju-pcalab.github.io/projects/openvid Code**: https://github.com/NJU-PCALab/OpenVid Your browser does not support the video tag. This is a video description. It provides context and additional information about the video content. Centered Video with Description body, html { height: 100%; margin: 0; display: flex; justify-content: center; align-items: center; } .video-container { display: flex; flex-direction: column; align-items: center; text-align: center; } video { max-width: 100%; height: auto; } .description { margin-top: 10px; font-size: 14px; color: #555; } Your browser does not support the video tag. This is a video description. It provides context and additional information about the video content. Directory Note: The zip files in the `nkp37/OpenVid-1M` directory contain the complete 1M dataset, which already includes all data from `openVidHD-0.4M`. Previously, users who only wanted to access `openVidHD-0.4M` had to download the entire 1M dataset and filter it themselves. To make this process easier, we now provide the standalone `openVidHD-0.4M` dataset under `nkp37/OpenVid-1M/openVidHD`. If you only wish to use `openVidHD-0.4M`, you can now download this subset directly. Download Please refer to **download script** to download OpenVid-1M. You can also download each file by , for instance: We have uploaded a separate