LIME: Learning Intent-aware Camera Motion from Egocentric Video
LIME learns how a camera should move by predicting a target pose and an 'observation-gain' description based on a natural language intent, even from passive human videos. It combines an autoregressive language model with a continuous flow-matching head to generate realistic, intent-conditioned camera motions for robots.