ViTMatte model ViTMatte model trained on Composition 1k. It was introduced in the paper ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers by Yao et al. and first released in this repository. Disclaimer: The team releasing ViTMatte did not write a model card for this model so this model card has been written by the Hugging Face team. Model description ViTMatte is a simple approach to image matting, the task of accurately estimating the foreground object in an image. The model consists of a Vision Transformer (ViT) with a lightweight head on top. ViTMatte high level overview. Taken from the original paper. Intended uses & limitations You can use the raw model for image matting. See the model hub to look for other fine tuned versions that may interest you. How to use We refer to the docs. BibTeX entry and citation info
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