XinyuYanTJU/LawDIS
[ICCV'2025] LawDIS: Language-Window-based Controllable Dichotomous Image Segmentation
This project helps graphic designers, image editors, and researchers accurately extract specific objects or regions from images. You provide an image and a text description, and it generates a precise segmentation mask. It then allows for fine-tuning those masks by interactively adjusting regions, making it ideal for detailed image manipulation and analysis.
Use this if you need to precisely isolate objects in images using natural language, and then meticulously refine those selections for high-accuracy results.
Not ideal if you only need rough object detection or if you don't require the ability to refine segmentation masks with fine-grained control.
Stars
53
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
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