luanfujun/deep-painterly-harmonization
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3068
- days_rel: n/a
- days_push: 1857
- n_releases_24m: 0
Adoption not part of the score
6042 stars · 607 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Research code implementing the 'Deep Painterly Harmonization' algorithm, which seamlessly blends a pasted object into a painting's style using deep neural features. It is built on Torch7 with CUDA and includes data and scripts to reproduce the paper's results.
Use cases
- harmonize a pasted object into a painting's style
- reproduce results from the Deep Painterly Harmonization paper
- blend an inserted element so it matches a painting's brushwork
- experiment with neural image harmonization techniques
- generate stylized composites from paintings and photos
When to choose
- you need to composite an object into a painting so it looks naturally painted
- you want to reproduce or build on the paper's research
- you have a CUDA-capable Linux setup and are comfortable with Torch7 and Matlab/Octave
When to avoid
- you need a maintained, production-ready tool - the code is old research software with no license
- you want a modern PyTorch or GPU-friendly pipeline
- you need commercial use - the software is restricted to academic and non-commercial use
- you want automatic weight estimation - the pretrained stylization model was never released
Facets
library · maturity maintenance
image-processing deep-learning machine-learning computer-vision image-processing deep-learning artificial-intelligence python cpp neural-style-transfer image-harmonization torch7 vgg-19 research-code cuda academic-paper non-commercial linux gpu
1 source
- readme: https://github.com/luanfujun/deep-painterly-harmonization · fetched 2026-08-28 · 9c55a2fa3b38
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| luanfujun/deep-painterly-harmonization | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="luanfujun/deep-painterly-harmonization")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem