EgoEdit: Advancing Egocentric Video Editing with New Dataset, Model, and Benchmark

This research introduces a significant contribution to egocentric video editing by providing a dataset, real-time model, and benchmark. The combination of these resources offers a robust foundation for future advancements in this field.

• •Presents a new dataset tailored for egocentric video editing.
• •Develops a real-time streaming model to facilitate editing.
• •Offers a benchmark to evaluate and compare different editing approaches.