DmitryUlyanov/texture_nets

Health v2 · maintenance only

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1225 stars · 215 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Research code implementing the 'Texture Networks' paper for fast feed-forward texture synthesis and neural style transfer using Torch7. Once trained, the generator network can instantly produce textures or stylized images of any size.

Use cases

• stylize images with neural style transfer
• generate textures from a sample image
• train a feed-forward style transfer network
• apply artistic filters to photos in real time
• reproduce texture networks paper results
• experiment with instance normalization for stylization

When to choose

• you need to reproduce or extend the Texture Networks or Johnson perceptual losses papers
• you want fast feed-forward stylization instead of slow per-image optimization
• you are researching generator architectures and instance normalization

When to avoid

• you want a maintained tool with modern PyTorch or TensorFlow support
• you cannot install the deprecated Torch7 framework and loadcaffe
• you need production-ready image stylization with GPU support guarantees

Facets

library · maturity abandoned

machine-learning deep-learning image-processing llm-training deep-learning image-processing computer-vision graphics python style-transfer texture-synthesis neural-style torch7 instance-normalization generative-models research-code gpu linux macos

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