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---
license: cc-by-4.0
language:
- en
pipeline_tag: image-segmentation
library_name: zim-anything
tags:
- matting
- segmentation
- segment anything
- zero-shot matting
---
# ZIM-Anything-ViTB
## Introduction
π Introducing ZIM: Zero-Shot Image Matting β A Step Beyond SAM! π
While SAM (Segment Anything Model) has redefined zero-shot segmentation with broad applications across multiple fields, it often falls short in delivering high-precision, fine-grained masks. Thatβs where ZIM comes in.
π What is ZIM? π
ZIM (Zero-Shot Image Matting) is a groundbreaking model developed to set a new standard in precision matting while maintaining strong zero-shot capabilities. Like SAM, ZIM can generalize across diverse datasets and objects in a zero-shot paradigm. But ZIM goes beyond, delivering highly accurate, fine-grained masks that capture intricate details.
π Get Started with ZIM π
Ready to elevate your AI projects with unmatched matting quality? Access ZIM on our [project page](https://naver-ai.github.io/ZIM/), [Arxiv](https://huggingface.co/papers/2411.00626), and [Github](https://github.com/naver-ai/ZIM).
## Installation
```bash
pip install zim_anything
```
or
```bash
git clone https://github.com/naver-ai/ZIM.git
cd ZIM; pip install -e .
```
## Usage
1. Make the directory `zim_vit_b_2043`.
2. Download the [encoder](https://huggingface.co/naver-iv/zim-anything-vitb/resolve/main/zim_vit_b_2043/encoder.onnx?download=true) weight and [decoder](https://huggingface.co/naver-iv/zim-anything-vitb/resolve/main/zim_vit_b_2043/decoder.onnx?download=true) weight.
3. Put them under the `zim_vit_b_2043` directory.
```python
from zim_anything import zim_model_registry, ZimPredictor
backbone = "vit_b"
ckpt_p = "zim_vit_b_2043"
model = zim_model_registry[backbone](checkpoint=ckpt_p)
if torch.cuda.is_available():
model.cuda()
predictor = ZimPredictor(model)
predictor.set_image(<image>)
masks, _, _ = predictor.predict(<input_prompts>)
```
## Citation
If you find this project useful, please consider citing:
```bibtex
@article{kim2024zim,
title={ZIM: Zero-Shot Image Matting for Anything},
author={Kim, Beomyoung and Shin, Chanyong and Jeong, Joonhyun and Jung, Hyungsik and Lee, Se-Yun and Chun, Sewhan and Hwang, Dong-Hyun and Yu, Joonsang},
journal={arXiv preprint arXiv:2411.00626},
year={2024}
} |