manuelruder/artistic-videos
Torch implementation for the paper "Artistic style transfer for videos" observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived 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: 3784
- days_rel: n/a
- days_push: 3122
- n_releases_24m: 0
Adoption not part of the score
1754 stars · 251 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Torch (Lua) implementation of the paper 'Artistic style transfer for videos', which applies the style of a painting to an entire video while keeping frames temporally consistent using optical flow constraints. It builds on Justin Johnson's neural-style code and requires a CUDA GPU for practical runtimes.
Use cases
- stylize a video in the style of a painting
- apply artistic style transfer to video frames with temporal consistency
- reproduce results from the 'Artistic style transfer for videos' paper
- convert a movie clip into a Van Gogh-style animation
- research video style transfer with optical flow
When to choose
- you need arbitrary style images, not just precomputed style templates
- you want the original research-quality implementation with temporal consistency constraints
- you have a CUDA GPU and can tolerate minutes of processing per frame
When to avoid
- you need fast, real-time stylization - use fast-artistic-videos instead
- you want a maintained, modern PyTorch or TensorFlow codebase - this uses legacy Torch7
- you only have a CPU or a small GPU
- you need a permissively licensed project - the license is non-standard
Facets
application · maturity maintenance
image-processing video-processing deep-learning computer-vision image-processing deep-learning cpp style-transfer neural-style torch7 optical-flow research-code video linux gpu
1 source
- readme: https://github.com/manuelruder/artistic-videos · fetched 2026-08-28 · 8e1f87078c7e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| manuelruder/artistic-videos | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="manuelruder/artistic-videos")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem