piddnad/DDColor
Some data may be outdated — see provenance labels.
[ICCV 2023] DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders observed · 2026-09-25
Health v2 · maintenance only
56/100
- Activity 54
- Release rhythm 35
- Longevity 99
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1397
- days_rel: n/a
- days_push: 276
- n_releases_24m: 0
Adoption not part of the score
1502 stars · 169 forks observed · 2026-09-25
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
DDColor is the official PyTorch implementation of an ICCV 2023 paper on photo-realistic automatic image colorization using dual decoders and learnable color tokens. It provides pretrained models and inference/training code for colorizing black-and-white photos and recoloring stylized imagery.
Use cases
- colorize old black and white family photos
- restore historical photographs with realistic colors
- convert grayscale images to color automatically
- recolor anime game landscapes into realistic style
- run image colorization inference with pretrained models
- train a custom image colorization model
When to choose
- you need state-of-the-art automatic photo colorization
- you want pretrained models with Hugging Face, ModelScope, or Replicate integration
- you want to colorize old photos or stylized artwork with PyTorch
When to avoid
- you need real-time video colorization on CPU
- you want a simple GUI tool rather than a Python library
- you cannot use GPU acceleration or PyTorch
Facets
library · maturity active
image-processing machine-learning deep-learning computer-vision image-processing artificial-intelligence python cross-platform image-colorization pytorch iccv-2023 pretrained-models photo-restoration deep-learning gpu
1 source
- readme: https://github.com/piddnad/DDColor · fetched 2026-09-25 · ca6479a8d733
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| piddnad/DDColor | main | 56 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem