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StateFlow transforms previsualization by enabling creators to iteratively refine complex 3D scenes with a persistent state, rather than relying on one-shot generation.
Imagine creating high-fidelity, navigable 3D worlds from just a text prompt or a single image – HY-World 2.0 makes it a reality.
Forget painstakingly curating 3D-consistent datasets: this RL approach uses a 3D foundation model to *verify* consistency, turning 3D scene editing into a tractable reinforcement learning problem.