ShadowDancer: Frame-Level Control for Video World Models via Shadow Pairs
qixing_huang · x · 2026-08-03
ShadowDancer introduces a novel approach for any-action, frame-level control in video world models by learning unified dynamics representations from a video and its shadow.
- Core Idea: Inspired by Plato's allegory of the cave, it treats videos as "shadows" of dynamics. By observing the same dynamics twice (shadow pairs), it disentangles the action from co-occurring background noise.
- Control Method: Achieves control without labels or fine-tuning. A frozen encoder reads a demonstration clip to specify how an action unfolds frame-by-frame.
- Applications: Demonstrates precise control across diverse scenarios, including first-person shooters, spellcasting, dancing, and robot arm manipulation.
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