cysmith/neural-style-tf

Health v2 · maintenance only

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Adoption not part of the score

3104 stars · 808 forks observed · 2026-08-28

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

A TensorFlow implementation of neural style transfer based on Gatys et al.'s convolutional neural network approach, with support for video style transfer, color preservation, multiple styles, and semantic segmentation. It is used as a command-line tool to synthesize images combining the content of one image with the artistic style of another.

Use cases

• apply an artistic painting style to a photo
• transfer style of an artwork onto images using CNNs
• stylize videos with neural style transfer
• blend multiple art styles into one image
• preserve original colors while transferring style
• recreate Gatys et al. neural style paper results

When to choose

• you want a proven, scriptable implementation of Gatys-style neural style transfer in TensorFlow
• you need video style transfer or multi-style blending features
• you want to reproduce classic neural style research results

When to avoid

• you need real-time or fast style transfer models
• you prefer PyTorch or modern maintained frameworks
• you need active development or recent updates

Facets

cli-tool · maturity maintenance

image-processing deep-learning machine-learning image-processing deep-learning computer-vision python cross-platform style-transfer tensorflow neural-style artistic-filters computer-vision gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="cysmith/neural-style-tf")