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adec314

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  1. Show HN: Reusable, spectraly shaped Blue Noise point clouds (github.com)

    Blue noise is the task of sampling a collection of points optimally placed to cover space randomly yet uniformly. -randomly: no periodic pattern or undesired ordered structure, to prevent aliasing effects. -uniformly:…

    1 points 1
  2. Optimal transport is art: images to collection of optimally placed particles (blog.wolfram.com)
    1 points 3
  3. Gaussian Blue Noise for image stippling (Colab demo) (colab.research.google.com)
    1 points 0
  4. Show HN: Simple, multi-key sorting algorithm for 2D+ points gridification (github.com)
    1 points 1
  5. Show HN: From raw Point Cloud dataset to regular Grid index (huggingface.co)

    Interactive demo of a simple preprocessing tool for geometric datasets, all open source python package. Squarenet core sorting algorithm (Cartesian sort) allow for greedy but fast multi dimensional reordering of raw…

    1 points 0
  6. Ask HN: Multi dimensional sort (beyond Hilbert curve)

    My point is about structuring and indexing an arbitrary dataset, for preprocessing before eg segmentation/clustering, neighbor querys... In 1D, sorting is trivial because scalar values have a total, unambiguous order.…

    3 points 1
  7. Show HN: Square net turn a wild elephant into a flat grid – ML ready (github.com)
    2 points 0