Update README.md

README.md

@@ -14,7 +14,16 @@ tags:
 # ZIM-Anything-ViTB
 
 ## Introduction
-Zero-Shot Image Matting
+
+🚀 Introducing ZIM: Zero-Shot Image Matting – A Step Beyond SAM! 🚀
+
+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. That’s where ZIM comes in.
+
+🌟 What is ZIM? 🌟
+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.
+
+🔍 Get Started with ZIM 🔍
+Ready to elevate your AI projects with unmatched matting quality? Access ZIM on our project page: https://naver-ai.github.io/ZIM/
 
 ## Installation
 
@@ -32,13 +41,15 @@ cd ZIM; pip install -e .
 
 ## Usage
 
-Download the [model](https://huggingface.co/depth-anything/Depth-Anything-V2-Large/resolve/main/depth_anything_v2_vitl.pth?download=true) first and put it under the `results` directory.
+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 = "results/zim_vit_b_2043"
+ckpt_p = "zim_vit_b_2043"
 
 model = zim_model_registry[backbone](checkpoint=ckpt_p)
 if torch.cuda.is_available():