_______               __                   _______
       |   |   |.---.-..----.|  |--..-----..----. |    |  |.-----..--.--.--..-----.
       |       ||  _  ||  __||    < |  -__||   _| |       ||  -__||  |  |  ||__ --|
       |___|___||___._||____||__|__||_____||__|   |__|____||_____||________||_____|
                                                             on Gopher (inofficial)
   URI Visit Hacker News on the Web
       
       
       COMMENT PAGE FOR:
   URI   Infinigen
       
       
        saikatsg wrote 3 min ago:
        Source:
        
   URI  [1]: https://github.com/princeton-vl/infinigen
       
        janalsncm wrote 47 min ago:
        This seems extremely cool. I’m wondering if it can be used to create
        procedural video game assets.
       
          kannonboy wrote 39 min ago:
          From the homepage it sounds like they've prioritised geometry
          fidelity for CV research rather than performance:
          
          > Infinigen is optimized for computer vision research, particularly
          3D vision. Infinigen does not use bump/normal-maps,
          full-transparency, or other techniques which fake geometric detail.
          All fine details of geometry from Infinigen are real, ensuring
          accurate 3D ground truth.
          
          So I suspect the assets wouldn't be particularly optimised for video
          games. Perhaps a good starting point though!
       
        feverzsj wrote 2 hours 23 min ago:
        I like the "zero AI" part.
       
        markisus wrote 2 hours 35 min ago:
        This project generates synthetic computer vision training data. The
        arxiv paper has more detail including some cool pictures of random
        creatures it can generate. The images are nice but all of them are
        nature settings so I assume one would have to supplement this type of
        data with another data set for training a computer vision model.
       
          kannonboy wrote 51 min ago:
          The same authors also created Infinigen Indoors[1] to generate indoor
          scenes for computer vision applications such as robotics & AR.
          
   URI    [1]: https://arxiv.org/abs/2406.11824
       
       
   DIR <- back to front page