zengxianyu/structured-noise
Structured Noise Generation from the paper NeuralRemaster with Phase-Preserving Diffusion
This tool helps creative professionals or researchers working with digital images to generate unique, 'structured' noise that visually aligns with the original image's features. You input an existing image, and it outputs a new image filled with noise that mimics the patterns and textures of your original. This is ideal for artists, designers, or AI researchers looking to add specific visual textures or prepare datasets with structured variations.
Use this if you need to create visually cohesive noise or texture maps that are not random, but instead reflect the underlying structure of a source image.
Not ideal if you simply need generic, unstructured noise or if you require fine-grained control over the exact characteristics of the noise rather than its alignment to an image.
Stars
32
Forks
3
Language
Python
License
—
Category
Last pushed
Feb 01, 2026
Commits (30d)
0
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