piddnad/DDColor

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1496 stars · 169 forks observed · 2026-08-28

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

Member repositories

For agents

markdown · JSON · MCP: product_card(name="piddnad/DDColor")