luanfujun/deep-photo-styletransfer

Health v2 · maintenance only

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Adoption not part of the score

9989 stars · 1374 forks observed · 2026-08-28

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

Reference implementation of the CVPR 2017 paper 'Deep Photo Style Transfer', performing photorealistic image style transfer using Torch with VGG-19 and matting Laplacian-based color constraints. It is research code combining Lua/Torch scripts with MATLAB/Octave preprocessing steps.

Use cases

• transfer the style of one photo onto another photorealistically
• reproduce results from the Deep Photo Style Transfer paper
• apply artistic style to a photo while preserving image structure
• experiment with neural style transfer using segmentation masks
• run GPU-accelerated deep image stylization locally

When to choose

• you need photorealistic (not painterly) style transfer with content preserved
• you want the exact reference implementation of the paper for research
• you can work with Torch7 and MATLAB/Octave tooling

When to avoid

• you want a maintained, easy-to-install modern framework (Torch7 is deprecated)
• you need a commercial license - it is academic/non-commercial use only
• you prefer PyTorch or TensorFlow pipelines
• you need Windows or macOS support out of the box

Facets

library · maturity maintenance

image-processing deep-learning machine-learning computer-vision image-processing deep-learning artificial-intelligence python cpp style-transfer neural-style torch7 matlab research-code vgg-19 photographic-style-transfer academic-use-only linux gpu

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