TIGER-Lab/VideoFeedback
📃Paper | 🌐Website | 💻Github | 🛢️Datasets | 🤗Model | 🤗Demo Overview VideoFeedback contains a total of 37.6K text-to-video pairs from 11 popular video generative models, with some real-world videos as data augmentation. The videos are annotated by raters for five evaluation dimensions: Visual Quality, Temporal Consistency, Dynamic Degree, Text-to-Video Alignment and Factual Consistency, in 1-4 scoring scale. VideoFeedback is used to for trainging of VideoScore Below we… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/VideoFeedback.
| Author / organization | TIGER-Lab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.2K (as reported by Hugging Face) |
| Likes | 35 |
| Created | 26 April 2024 |
| Last updated at source | 10 August 2024 |
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