wang-sj16/TI2V-Bench

This is the official repository of TI2V-Bench dataset proposed in the paper MotiF: Making Text Count in Image Animation with Motion Focal Loss.

TI2V-Bench comprises text-image pairs from 22 diverse scenarios featuring a variety of objects and scenes. Each scenario includes 3 to 5 images with similar content presented in different styles, alongside multiple distinct prompts designed to animate these images and generate varied outputs. The benchmark includes a total of 320 image-text pairs, consisting of 88 unique images and 133 unique prompts.

Check prompt.csv for the image path and corresponding prompts.

You can also download the dataset from Google Drive through this link.