Seeing Fast and Slow: Learning the Flow of Time in Videos
Paper • 2604.21931 • Published • 14
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Seeing Fast and Slow: Learning the Flow of Time in Videos
This repository contains the dataset presented in the paper Seeing Fast and Slow: Learning the Flow of Time in Videos.
The dataset features a large-scale collection of slow-motion video footage curated from in-the-wild sources. These videos, typically captured by high-speed cameras, contain significantly richer temporal detail than standard footage.
The dataset is designed to support research in reasoning about and manipulating the flow of time, including tasks such as:
- Speed change detection and playback speed estimation: Perceiving the passage of time.
- Speed-conditioned video generation: Producing motion at specified playback speeds.
- Temporal super-resolution: Transforming low-FPS sequences into high-FPS sequences with fine-grained temporal details.
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