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Notes on 3d scene generation
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iARCS: Iterative Agentic RL for Controllable 3D Scene Generation
The paper presents iARCS, an iterative agentic reinforcement learning framework for enhancing the performance of synthetic 3D scene generators by adapting them to meet task-specific functional constraints, such as…
iARCS: Iterative Agentic RL for Controllable 3D Scene Generation
Researchers present iARCS, an iterative agentic reinforcement learning framework to adapt a pre-trained 3D scene generator for meeting task-specific requirements in natural language. The system uses a two-stage…
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