TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation

Understand

Video generation models are revolutionizing content creation, with image-to-video models drawing increasing attention due to their enhanced controllability, visual consistency, and practical applications.

• However, despite their popularity, these models rely on user-provided text and image prompts, and there is currently no dedicated dataset for studying these prompts.
• In this paper, we introduce TIP-I2V, the first large-scale dataset of over 1.70 million unique user-provided Text and Image Prompts specifically for Image-to-Video generation.
• Additionally, we provide the corresponding generated videos from five state-of-the-art image-to-video models.