Ross ROSS = Recommend OSS · open-source software intelligence for agents

NVIDIA/FastPhotoStyle

Style transfer, deep learning, feature transform observed · 2026-08-28

github.com/NVIDIA/FastPhotoStyle · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3122
  • days_rel: n/a
  • days_push: 1183
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

11177 stars · 1192 forks observed · 2026-08-28

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

FastPhotoStyle is NVIDIA's official PyTorch implementation of the ECCV 2018 paper 'A Closed-form Solution to Photorealistic Image Stylization'. Given a content photo and a style photo, it transfers the style photo's appearance onto the content photo while keeping results photorealistic.

Use cases

  • transfer the style of one photo onto another photo
  • apply a reference photo's color and texture to my image
  • photorealistic image stylization research
  • reproduce ECCV 2018 photo style transfer results
  • make my vacation photo look like a painting but still photorealistic
  • experiment with deep learning style transfer in PyTorch

When to choose

  • you need photorealistic (not artistic) style transfer between two photos
  • you want the reference implementation of the WCT2 algorithm for research
  • you are comfortable running PyTorch models on a GPU

When to avoid

  • you need a maintained production library - the repo has not been actively updated since 2018
  • you want real-time or mobile style transfer
  • your use case is commercial - the code is licensed CC BY-NC-SA 4.0 (non-commercial)
  • you need artistic/stylized (non-photorealistic) transfer like AdaIN or Gatys-style methods

Facets

library · maturity maintenance

image-processing deep-learning machine-learning image-processing computer-vision deep-learning python style-transfer photorealistic-stylization pytorch computer-vision research-code linux gpu

1 source

Member repositories

RepositoryRoleHealth v2
NVIDIA/FastPhotoStylemain23

For agents

markdown · JSON · MCP: product_card(name="NVIDIA/FastPhotoStyle")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem