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Recent Posts
- Gradient-descent optimized recursive filters for deconvolution / deblurring September 5, 2022
- Progressive image stippling and greedy blue noise importance sampling August 31, 2022
- Removing blur from images – deconvolution and using optimized simple filters May 26, 2022
- Transforming “noise” and random variables through non-linearities March 16, 2022
- Fast, GPU friendly, antialiasing downsampling filter March 7, 2022
Categories
Tag Archives: textures
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
Compressing PBR material texture sets with sparsity and k-SVD dictionary learning
Introduction In this blog post, I am going to continue exploration of compressing whole PBR texture sets together (as opposed to compressing each texture from the set separately) and using the fact that those textures are strongly correlated. In my … Continue reading
Posted in Code / Graphics
Tagged compression, graphics, graphics programming, image processing, linear algebra, machine learning, maths, PBR, rendering, signal processing, textures
6 Comments
Dimensionality reduction for image and texture set compression
In this blog post I am going to describe some of my past investigations on reducing the number of channels in textures / texture sets automatically and generally – without assuming anything about texture contents other than correspondence to some … Continue reading
Posted in Code / Graphics
Tagged compression, graphics, image processing, linear algebra, machine learning, maths, PBR, physically-based shading, textures
17 Comments
Bart Wronski 