Reproduce “LucidDreaming: Controllable Object-Centric 3D Generation” on OpenResearch

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About this paper

Zhaoning Wang, Ming Li, Chen Chen

LucidDreaming introduces a plug-and-play pipeline for controllable object-centric 3D generation, leveraging LLMs and novel rendering techniques to enable precise spatial and numerical control over multi-object scenes. The system significantly improves object placement and quantity accuracy across various text-to-3D frameworks and uniquely allows for new object insertion into existing NeRF scenes.

Key insights

  • Large Language Models can effectively translate complex spatial and numerical constraints from natural language into concrete 3D bounding box layouts for generative models.
  • Localized rendering and density initialization are critical for achieving distinct, controllable, and accurately placed objects in multi-object 3D generation without fusion or omission.
  • A modular, plug-and-play design allows for seamless integration with existing SDS-based 3D generation frameworks, enhancing their control capabilities without extensive retraining.

Summary by alphaXiv.

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