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Ego2Act: Evaluating Goal-Directed Manipulation in Egocentric Video Generation

Ego2Act is a benchmark for evaluating goal-directed manipulation in egocentric video generation, featuring 2,640 videos from 110 real-world tasks. It assesses whether video generation models can create realistic egocentric videos of a hand performing multi-step object manipulations to achieve high-level goals.

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PublishedOctober 1, 2026Patrick Amadeus Irawan, Iskandar Muda Rizky Parlambang, Rava Maulana
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WHY IT MAY MATTER

This benchmark helps evaluate how well video generation models can simulate real-world tasks with multiple steps and physical interactions, which is important for applications like robotics and virtual environments.

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