InfiniGen, developed by Princeton Vision & Learning Lab, is an open-source procedural generator for creating diverse and realistic 3D scenes. It optimizes computer vision research by generating high-quality training data. With randomized mathematical rules, it produces unlimited variations of shapes, materials, and details. Infinigen offers various generators for natural objects and scenes, prioritizing accurate geometry. It includes automatic annotations for computer vision tasks and promotes community contribution for further expansion.

Key Features and Use Cases:

  • Generates unlimited variations of shapes, materials, and details.
  • Optimized for generating realistic training data for computer vision. 
  • It provides a wide range of generators for creating natural objects. 
  • Emphasizes accurate geometry rather than faking details.
  • Includes automatic annotations for various computer vision tasks. 
  • Encourages community involvement to expand its capabilities.


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