• 2023/08/15 Create repo

• Inpaint wisely with Layer Knowledge and User design
• Layer perception
• Decompose Anything with Simple Interaction
• High Quality Matting and Mask Results

Install Segment Anything Models as following:

pip install git+https://github.com/facebookresearch/segment-anything.git

Install ViTMatte as following:

python -m pip install 'git+https://github.com/facebookresearch/detectron2.git'
pip install -r requirements.txt

Install GroundingDINO as following:

cd Matte-Anything
git clone https://github.com/IDEA-Research/GroundingDINO.git
cd GroundingDINO
pip install -e .

Download pretrained models SAM_vit_h, ViTMatte_vit_b, and GroundingDINO-T. Put them in ./pretrained

1. Upload the image and click on it (default: foreground point).
2. Click Start!.
3. Modify erode_kernel_size and dilate_kernel_size for a better trimap (optional).

• [] Matte part
• [] Inpaint part
• [] layer perception part

we find a good matte repo Matte-Anything which part similar as our matte thinking.And we use their repo to do some matte work.

• Segment Anything
• GroundingDINO
• stable-diffusion-webui
• matte_Anything
• ViTMatte

Thanks to their work we can easilier get good output.

@article{decompose_anything,
  year={2023}
}