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:

Source: Hugging Face Hub (TIGER-Lab/VideoFeedback). Metadata imported from the dataset’s Hub tags.