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.
- HD videos (by Sengupta et al.) (Our model is more robust on HD footage)
- 4K videos and images
- 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.
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.