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

RIFE

More practical frame interpolation approach. observed · 2026-10-17

github.com/hzwer/Practical-RIFE · Python · MIT (permissive) observed · 2026-10-17

Health v2 · maintenance only

73/100

  • Activity 91
  • 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 2026-10-22. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1953
  • days_rel: n/a
  • days_push: 55
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1029 stars · 133 forks observed · 2026-10-17

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

Member repositories

RepositoryRoleHealth v2
hzwer/Practical-RIFEmain73
hzwer/ECCV2022-RIFEmain38

For agents

markdown · JSON · MCP: product_card(name="hzwer/Practical-RIFE")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem