nbei/Deep-Flow-Guided-Video-Inpainting
pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19) observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- 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: 2717
- days_rel: n/a
- days_push: 1364
- n_releases_24m: 0
Adoption not part of the score
2375 stars · 438 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A PyTorch implementation of the CVPR 2019 paper 'Deep Flow-Guided Video Inpainting', which fills missing regions in videos by completing optical flow fields and propagating pixels guided by them. It bundles a video inpainting tool (DFVI), a modified FlowNet2 for flow extraction, and a reimplemented DeepFillv1 image inpainting network.
Use cases
- remove objects from videos
- fill in missing regions in video frames
- video inpainting with masks
- complete occluded areas in footage
- research baseline for flow-guided video inpainting
- inpaint fixed regions in DAVIS-style videos
When to choose
- you need to remove objects or fill holes in video sequences with temporal coherence
- you want a research-grade reference implementation of flow-guided video inpainting
- you have a GPU and can work with PyTorch 0.4-era code
When to avoid
- you need a maintained, modern PyTorch pipeline or easy pip installation
- you want real-time or production video editing without GPU setup
- you only need single-image inpainting without video context
Facets
library · maturity maintenance
machine-learning deep-learning video-processing image-processing computer-vision computer-vision deep-learning machine-learning python video-inpainting optical-flow pytorch object-removal cvpr-2019 flownet2 research-code video linux docker gpu
2 sources
- readme: https://github.com/nbei/Deep-Flow-Guided-Video-Inpainting · fetched 2026-08-28 · a291d17b8758
- homepage: https://nbei.github.io/video-inpainting.html · fetched 2026-08-29 · 072651bc878e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| nbei/Deep-Flow-Guided-Video-Inpainting | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="nbei/Deep-Flow-Guided-Video-Inpainting")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem