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StateFlow is presented, a state-centric framework for generative previsualization that uses an editable 3D world to organize scene structure, evolution, and cameras, while off-the-shelf video models enhance visual quality when higher fidelity is desired.
This work presents a training-free multi-agent system that edits existing 3D meshes directly in Blender by emulating the iterative workflow of human artists, and views this work as an exploratory step toward visual-centric agentic geometry editing in professional graphics software.
An Agent-centric Domain-Specific Language (aDSL) and a role-specialized multi-agent system to close the gap between programmatic interfaces and reasoning strengths of LLMs, which favor semantic structure and spatial relations over fragile numeric choices.
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