msracver/Deep-Image-Analogy
The source code of 'Visual Attribute Transfer through Deep Image Analogy'. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
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: 3390
- days_rel: n/a
- days_push: 1801
- n_releases_24m: 0
Adoption not part of the score
1370 stars · 230 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Official C++/CUDA implementation of the SIGGRAPH 2017 'Visual Attribute Transfer through Deep Image Analogy' technique from Microsoft Research. It finds semantically meaningful dense correspondences between two images using CNN features to transfer color, texture, and style.
Use cases
- transfer painting style to a photo
- swap styles between two artworks
- convert a sketch or painting into a photo
- perform color and style swap between images
- compute dense semantic correspondences between images
- texture transfer between images
When to choose
- you need semantically-aware style transfer that respects image structure, not just global texture
- you want the reference implementation of the SIGGRAPH 2017 deep image analogy paper
- you have an NVIDIA GPU and a Windows environment with CUDA 7.5/8
When to avoid
- you need a maintained cross-platform or Python-friendly tool - it is only tested on Windows with old CUDA versions
- your images are large - input is limited to roughly 700x500 pixels
- you want modern deep-learning style transfer with active community support
Facets
library · maturity maintenance
image-processing computer-vision deep-learning computer-vision image-processing deep-learning windows cpp style-transfer cuda caffe image-analogy dense-correspondence siggraph-2017 gpu
6 sources
- readme: https://github.com/msracver/Deep-Image-Analogy · fetched 2026-08-28 · bc4d4235c7bb
- homepage: https://arxiv.org/abs/1705.01088 · fetched 2026-08-29 · 596ff4cc4c19
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| msracver/Deep-Image-Analogy | main | 32 |
For agents
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Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem