# NVIDIA/pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs

Repository: https://github.com/NVIDIA/pix2pixHD
Canonical: https://ross.abutalabs.com/products/pix2pixhd
Homepage: https://tcwang0509.github.io/pix2pixHD/
Language: Python
License: NOASSERTION
License Family: other
Topics: gan, deep-learning, deep-neural-networks, pytorch, pix2pix, image-to-image-translation, generative-adversarial-network, computer-vision, computer-graphics
Last push: 2024-11-04T18:13:20+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3197, "days_push": 667, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6923, forks 1412 (observed 2026-08-28T04:09:51.419298+00:00)

## What it is
PyTorch implementation of pix2pixHD, a conditional GAN method for synthesizing and manipulating high-resolution (2048x1024) photorealistic images from semantic label maps. It supports image-to-image translation tasks like label-to-streetview and label-to-face, plus interactive editing via instance-level manipulation.

## Use cases
- generate photorealistic street scenes from semantic label maps
- synthesize portrait images from face label maps
- translate low-resolution segmentation maps into 2k images
- interactively edit objects in generated images
- reproduce CVPR 2018 pix2pixHD research results
- train a conditional GAN for image-to-image translation

## When to choose
- you need high-resolution (1k-2k) semantic image synthesis with GANs
- you want the reference implementation of the pix2pixHD paper
- you need label-to-photo translation for Cityscapes-style or face datasets

## When to avoid
- you need modern diffusion-based image synthesis quality
- you lack an NVIDIA GPU with 11GB+ memory
- you want a production-ready, actively maintained image generation pipeline

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, image-processing, computer-vision
- domain: deep-learning, computer-vision, image-processing, machine-learning
- platform: python
- tags: gan, pytorch, image-to-image-translation, image-synthesis, conditional-gan, research-code, semantic-image-synthesis, linux, macos, gpu

## Member repositories
- NVIDIA/pix2pixHD (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:51.419298+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:41:25.587790+00:00, confidence not recorded.
  - readme: https://github.com/NVIDIA/pix2pixHD (fetched 2026-08-28T04:09:51.419298+00:00, sha ef855ffe7e05)
  - homepage: https://tcwang0509.github.io/pix2pixHD/ (fetched 2026-08-29T08:37:13.583247+00:00, sha ec748b3bcc96)
  - registry_pypi: https://pypi.org/pypi/pix2pixhd/json (fetched 2026-08-29T08:37:13.586952+00:00, sha 6249881b1f95)
- Data as of 2026-08-30T08:39:29.467469+00:00.