Reproduce “Infinite Photorealistic Worlds using Procedural Generation” on OpenResearch
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About this paper
Alexander Raistrick, Lahav Lipson, Zeyu Ma, Lingjie Mei, Mingzhe Wang, Yiming Zuo, Karhan Kayan, Hongyu Wen and 7 more
Princeton University researchers introduce Infinigen, an entirely procedural generator for photorealistic 3D natural scenes. It creates infinite variations of environments and objects with real geometry, enabling the training of computer vision models that achieve superior generalization on real-world natural imagery.
Key insights
- An entirely procedural approach, generating every asset and scene from mathematical rules, enables true infinite variation and composition, overcoming limitations of fixed asset libraries.
- Focusing on real geometric modeling (e.g., via displacement maps for materials, SDFs for terrain) provides accurate 3D ground truth crucial for reconstruction and other 3D vision tasks.
- A comprehensive, modular generator for the natural world, including diverse flora, fauna, and environmental elements, significantly expands the scope and utility of synthetic data for computer vision.
Summary by alphaXiv.
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