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Recent Posts
- Neural material (de)compression – data-driven nonlinear dimensionality reduction May 30, 2021
- Superfast void-and-cluster Blue Noise in Python (Numpy/Jax) April 21, 2021
- Computing gradients on grids of pixels and voxels – forward, central, and… diagonal differences February 28, 2021
- Bilinear down/upsampling, aligning pixel grids, and that infamous GPU half pixel offset February 15, 2021
- Is this a branch? January 18, 2021
Categories
Tag Archives: neural networks
Neural material (de)compression – data-driven nonlinear dimensionality reduction
In this post I come back to something I didn’t expect coming back to – dimensionality reduction and compression for whole material texture sets (as opposed to single textures) – a significantly underexplored topic. In one of my past posts … Continue reading
