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vt-vl-lab/FGVC

[ECCV 2020] Flow-edge Guided Video Completion observed · 2026-08-28

github.com/vt-vl-lab/FGVC · Python · NOASSERTION (other) 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: 2184
  • days_rel: n/a
  • days_push: 1723
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1551 stars · 255 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

FGVC is a PyTorch implementation of the ECCV 2020 paper 'Flow-edge Guided Video Completion'. It completes missing regions in videos by extracting and completing motion edges to guide piecewise-smooth optical flow completion, supporting object removal and field-of-view extrapolation.

Use cases

  • remove unwanted objects from a video
  • fill in missing or masked regions in video footage
  • extrapolate video beyond its original field of view
  • complete video content across motion boundaries
  • compare video inpainting algorithms on DAVIS
  • repair occluded areas in video sequences

When to choose

  • you need research-grade video completion with sharp motion boundaries
  • you want to remove objects or extend the frame of a video using optical flow
  • you are reproducing or building on the ECCV 2020 FGVC paper

When to avoid

  • you need a polished GUI application for casual video editing
  • you require real-time video processing
  • you need production support or active maintenance
  • you work outside Linux or lack a GPU

Facets

library · maturity maintenance

video-processing computer-vision machine-learning image-processing computer-vision machine-learning deep-learning python video-completion object-removal video-inpainting flow-completion video-extrapolation eccv-2020 research-code pytorch video linux gpu

1 source

Member repositories

RepositoryRoleHealth v2
vt-vl-lab/FGVCmain32

For agents

markdown · JSON · MCP: product_card(name="vt-vl-lab/FGVC")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem