Real-Time High-Resolution Background Matting Thursday, Dec 17, 2020
GitHUB SOURCE : https://github.com/PeterL1n/BackgroundMattingV2/
Real-Time High-Resolution Background Matting
Official repository for the paper Real-Time High-Resolution Background Matting. Our model requires capturing an additional background image and produces state-of-the-art matting results at 4K 30fps and HD 60fps on an Nvidia RTX 2080 TI GPU.
- Usage / Documentation
- Project members
- Community Projects
Model / Weights
Video / Image Examples
- VideoMatte240K (Coming soon)
- PhotoMatte85 (Coming soon)
We provide several scripts in this repo for you to experiment with our model. More detailed instructions are included in the files.
inference_images.py: Perform matting on a directory of images.
inference_video.py: Perform matting on a video.
inference_webcam.py: An interactive matting demo using your webcam.
Additionally, you can try our notebooks in Google Colab for performing matting on images and videos.
Developers in the community has helped us build a web demo. See Community Projects section below.
Usage / Documentation
You can run our model using PyTorch, TorchScript, TensorFlow, and ONNX. For detail about using our model, please check out the Usage / Documentation page.
Training code will be released upon acceptance of the paper.
- Shanchuan Lin*, University of Washington
- Andrey Ryabtsev*, University of Washington
- Soumyadip Sengupta, University of Washington
- Brian Curless, University of Washington
- Steve Seitz, University of Washington
- Ira Kemelmacher-Shlizerman, University of Washington
* Equal contribution.
This work is licensed under the Creative Commons Attribution NonCommercial ShareAlike 4.0 License.
A list of projects built by third-party developers in the community. If you have a project to share, contact us!
- Web Demo by Gradio: Matting your own images from your browser.
Article Title: Real-Time High-Resolution Background Matting
This article URL：Real-Time High-Resolution Background Matting
- Emacs Lisp
- Jupyter Notebook
- Rich Text Format
- Vim script
- Visual Basic .NET
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