Haonan Chen

Memory consistency in video generation models falters significantly when objects disappear, with state-of-the-art models struggling to recover updated states upon reappearance.

Complex manipulation capabilities can be achieved by dynamically composing simple behaviors, leading to unprecedented precision and adaptability in real-world tasks.

IMPACT achieves higher success rates in robotic manipulation tasks while generalizing effectively to unseen object weights, outperforming traditional methods.