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Instead of decoding free latent tokens or reconstructing fully explicit 3D primitives, IRIS represents the scene as a latent neural field and renders novel views by querying this field under self-predicted cameras, preserving the flexibility and optimization stability of implicit modeling, while introducing stronger geometric structure than unconstrained latent rendering.