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Noise & Color Invariance

JEPA architectures learn by predicting in latent space. This makes them naturally invariant to pixel-level noise (static, occlusion) and irrelevant visual properties (like color shifting) that don't affect the underlying world physics.

Input Observation (Pixel Space)
World Model Prediction (Latent Space)