vt-vl-lab/3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting 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: 2338
- days_rel: n/a
- days_push: 733
- n_releases_24m: 0
Adoption not part of the score
7093 stars · 1132 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A Python research codebase from a CVPR 2020 paper that converts a single RGB-D image into a 3D photo using layered depth inpainting. It hallucinates color and depth in occluded regions to enable novel view synthesis with motion parallax effects.
Use cases
- turn a single photo into a 3D parallax animation
- generate novel views from one RGB-D image
- inpaint occluded regions of a depth image
- create dolly zoom effects from still photos
- animate old family photos with 2.5D motion
- estimate depth maps with MiDaS and render 3D photos
When to choose
- you want to reproduce CVPR 2020 layered depth inpainting results
- you need novel view synthesis from a single image on Linux with PyTorch
- you want research-grade 3D photo effects like parallax and dolly zoom
When to avoid
- you need a production-ready or actively maintained pipeline
- you work on Windows or macOS without Linux compatibility effort
- you need real-time or web-based 3D photo generation
- you require a permissive license for commercial use
Facets
library · maturity maintenance
image-processing computer-vision machine-learning graphics deep-learning computer-vision image-processing graphics artificial-intelligence python 3d-photo novel-view-synthesis depth-inpainting rgb-d parallax-effect cvpr-2020 research-code linux gpu
2 sources
- readme: https://github.com/vt-vl-lab/3d-photo-inpainting · fetched 2026-08-28 · 7f35ec0d74dc
- homepage: https://shihmengli.github.io/3D-Photo-Inpainting/ · fetched 2026-08-29 · ddba17482d1d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| vt-vl-lab/3d-photo-inpainting | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="vt-vl-lab/3d-photo-inpainting")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem