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$x$-prediction outperforms traditional methods by directly generating clean images, ensuring that guided samples remain on the data manifold even in high-noise conditions.
By treating camera pose as a unifying geometric representation, WorldCam achieves significantly improved action controllability and long-horizon 3D consistency in interactive gaming world models compared to prior video diffusion transformer approaches.
