microsoft/Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral) observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
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: 2261
- days_rel: n/a
- days_push: 1042
- n_releases_24m: 0
Adoption not part of the score
15704 stars · 2096 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
The official PyTorch implementation of 'Bringing Old Photos Back to Life' (CVPR 2020 Oral), a deep learning model that restores old photos suffering from scratches, dust, noise, and blurriness using a triplet domain translation network with VAE latent spaces. It includes pretrained models, training code, and support for high-resolution inputs.
Use cases
- restore old damaged family photos
- remove scratches and dust spots from scanned photographs
- fix noise and blurriness in degraded images
- enhance faces in old photos
- experiment with GAN-based image restoration research
- run photo restoration on a GPU with pretrained models
When to choose
- you need to restore real old photos with mixed degradations like scratches, noise, and blur
- you want a research-grade reference implementation of the CVPR 2020 paper
- you have an Nvidia GPU and want pretrained models for photo restoration
When to avoid
- you need a production-ready, optimized service with fast inference or easy deployment
- you lack a CUDA-capable GPU
- you need general-purpose modern photo enhancement rather than old-photo-specific restoration
Facets
library · maturity maintenance
image-processing machine-learning deep-learning computer-vision image-processing deep-learning photography python image-restoration gan pytorch old-photos photo-enhancement scratch-removal face-enhancement research-code linux gpu
6 sources
- readme: https://github.com/microsoft/Bringing-Old-Photos-Back-to-Life · fetched 2026-08-28 · f1c820877ef3
- homepage: https://arxiv.org/abs/2004.09484 · fetched 2026-08-29 · fc3b3ed7294a
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| microsoft/Bringing-Old-Photos-Back-to-Life | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="microsoft/Bringing-Old-Photos-Back-to-Life")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem