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. 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.… See the full description on the dataset page: https://huggingface.co/datasets/nkp37/OpenVid-1M.

Type: Dataset
Imported from Hugging Face
Popularity: 285 likes on Hugging Face
License: cc-by-4.0
Source: https://huggingface.co/datasets/nkp37/OpenVid-1M
Tags: text-to-video, image-to-video, Video Generative Model Training, Text-to-Video Diffusion Model Training, prompts, Video Understanding
Updated: 2026-10-01

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