RIFE
More practical frame interpolation approach. observed · 2026-09-03
Health v2 · maintenance only
77/100
- Activity 99
- 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: 1904
- days_rel: n/a
- days_push: 6
- n_releases_24m: 0
Adoption not part of the score
1004 stars · 129 forks observed · 2026-09-03
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
RIFE is a deep learning model for real-time video frame interpolation, estimating intermediate flow between frames to generate smooth slow-motion or high-framerate video. It supports arbitrary-timestep interpolation and runs 30+ FPS for 2X 720p interpolation on a consumer GPU.
Use cases
- interpolate video frames to increase framerate
- convert videos to slow motion
- smooth out low-fps anime footage
- upsample frames of AI-generated diffusion videos
- generate intermediate frames between two images
When to choose
- you need real-time frame interpolation on a GPU
- you want arbitrary-timestep interpolation between frames
- you need a well-cited model with practical pretrained releases for anime and general video
When to avoid
- you have no GPU available
- you need a turnkey GUI application rather than a model and scripts
- your videos have complex occlusions that flow-based methods handle poorly
Facets
library · maturity active
video-processing machine-learning deep-learning image-processing computer-vision deep-learning media python windows video-frame-interpolation optical-flow slomo vfi aigc eccv2022 video gpu linux macos
1 source
- readme: https://github.com/hzwer/Practical-RIFE · fetched 2026-09-03 · bbd8c5b63d75
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| hzwer/Practical-RIFE | main | 77 |
| hzwer/ECCV2022-RIFE | main | 41 |
For agents
markdown · JSON · MCP: product_card(name="hzwer/Practical-RIFE")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem