#493 · Primary category: Computer Vision
FBA_Matting
Official repository for the paper F, B, Alpha Matting
Project last updated:06/22/23
GitHub Stars
502
Forks
96
Contributors
2
License
MIT
Why we included this project
Need to pull a clean subject out of a photo, hair strands and all? FBA Matting predicts an alpha matte plus separate foreground and background colors, which is what makes compositing hair, fur, and translucent objects look convincing. The repo includes pretrained weights, a demo script, a notebook, and a Colab, so you can run the model without training it yourself, and there's a TorchScript export path if you want a more portable deployment. Keep in mind that the released models fall under the Adobe dataset license, so they're restricted to noncommercial use, and the training code was never published. That makes this a solid inference baseline and a useful reference for matting research rather than a complete open pipeline you can retrain end to end.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
opencv
Open Source Computer Vision Library
RuView
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
PaddleOCR
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
tesseract
Tesseract Open Source OCR Engine (main repository)