jcjohnson/fast-neural-style

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

4359 stars · 801 forks observed · 2026-08-28

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

A Torch (Lua) implementation of feedforward neural style transfer from the ECCV 2016 paper 'Perceptual Losses for Real-Time Style Transfer and Super-Resolution'. It includes pretrained models, training code, a real-time webcam demo, and an optimization-based Gatys-style transfer implementation.

Use cases

• apply artistic style to images in real time
• stylize photos with pretrained neural style models
• train a custom feedforward style transfer model
• run a real-time webcam style transfer demo
• reproduce results from the perceptual losses paper
• implement instance normalization for stylization

When to choose

• you need fast, feedforward image stylization with pretrained models
• you want to study or extend the ECCV 2016 perceptual losses method
• you are working in Torch/Lua and need style transfer code

When to avoid

• you need a maintained PyTorch or TensorFlow implementation
• you require a permissively licensed project (no license is included)
• you want modern GPU stack support, since Torch is deprecated

Facets

library · maturity maintenance

image-processing deep-learning machine-learning computer-vision image-processing deep-learning artificial-intelligence lua cpp style-transfer torch neural-style research-code instance-normalization computer-vision gpu linux macos

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