Tag Archives: neural networks

Comparing images in frequency domain. “Spectral loss” – does it make sense?

Posted on July 6, 2021 by bartwronski

Recently, numerous academic papers in the machine learning / computer vision / image processing domains (re)introduce and discuss a “frequency loss function” or “spectral loss” – and while for many it makes sense and nicely improves achieved results, some of … Continue reading →

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Neural material (de)compression – data-driven nonlinear dimensionality reduction

Posted on May 30, 2021 by bartwronski

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 →

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