awentzonline/image-analogies

Health v2 · maintenance only

Adoption not part of the score

3502 stars · 280 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Python library implementing neural image analogies using VGG16 feature maps with PatchMatch-based matching and blending, based on the 'Image Analogies' paper. It generates image transformations by learning the relationship between a pair of images and applying it to a new image.

Use cases

• transfer a texture or style from one image pair to a new image
• apply a seasonal color transformation to photos
• generate stylized skull or artistic effects on portraits
• perform neural style transfer with patch-based blending
• experiment with Markov Random Field image synthesis

When to choose

• you want image analogy or style transfer effects using VGG16 features
• you need a Python/Keras implementation with GPU or CPU support
• you want PatchMatch-accelerated patch matching for image synthesis

When to avoid

• you need actively maintained software with recent framework compatibility
• you want modern style transfer models like diffusion-based approaches
• you need a plug-and-play tool without downloading VGG16 weights and configuring Keras backends

Facets

library · maturity maintenance

image-processing deep-learning machine-learning image-processing deep-learning computer-vision python cross-platform neural-style-transfer image-analogies vgg16 patchmatch keras texture-synthesis gpu

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