phillipi/pix2pix

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

10652 stars · 1731 forks observed · 2026-08-28

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

The original Torch (Lua) implementation of pix2pix, a conditional GAN for image-to-image translation tasks such as synthesizing photos from label maps, colorization, and edge-to-photo reconstruction. It is the research code for the CVPR 2017 paper, with the authors recommending the actively maintained PyTorch port instead.

Use cases

• translate images from one domain to another with a conditional GAN
• generate building facades from label maps
• colorize black-and-white images
• reconstruct photos from edge maps
• train an image-to-image translation model on a custom paired dataset
• reproduce the pix2pix CVPR 2017 paper results

When to choose

• you need the original Torch implementation for research reproduction or comparison
• you have paired image datasets and an NVIDIA GPU for training
• you want to study the reference implementation of conditional adversarial image translation

When to avoid

• you want an actively maintained framework - use the PyTorch port instead
• your environment does not support the deprecated Torch/Lua ecosystem
• you need CPU-only training at scale or production deployment

Facets

library · maturity maintenance

machine-learning deep-learning image-processing computer-vision computer-vision deep-learning image-processing machine-learning lua gan pix2pix image-to-image-translation torch generative-adversarial-network research-code image-generation linux macos gpu

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markdown · JSON · MCP: product_card(name="phillipi/pix2pix")