1. 快速图像抠像:ViTMatte能够在几秒内对图像进行抠像,无需复杂的手动操作。用户只需提供待处理的图像,ViTMatte就能够自动将前景和背景分离出来。 2. 高质量的抠像结果:ViTMatte基于最先进的Transformer技术,能够实现高质量的抠像效果。无论图像中的前景与背景有多复杂,ViTMatte都能够精确地进行分割,
ViTMatte是一款基于HuggingFace Transformers库的图像抠像工具,旨在为用户提供快速、高质量的图像抠像功能。该工具采用先进的视觉注意力Transformer(ViT)模型,能在几秒内对图像进行抠像,具有高质量的分割效果。ViTMatte提供用户友好的界面,支持批量处理多个图像,免费开源。
vitmatte-small-composition-1k是一种预训练模型,专注于处理视觉合成任务。它具有强大的图像生成能力,可以用于图像合成、图像修复等任务。该模型通过深度学习技术,从大量的图像数据中学习到丰富的特征表示,使得生成的图像更加逼真、自然。 在图像合成任务中,vitmatte-small-composition-1k可以根据输入的文本描述,生成符合...
We hypothesize that image matting could also be boosted by ViTs and present a new efficient and robust ViT-based matting system, named ViTMatte. Our method utilizes (i) a hybrid attention mechanism combined with a convolution neck to help ViTs achieve an excellent performance-computation trade-...
公共数据集> vitmattevitmatte 0 comfyui IDU2025 1枚 idu Apache 2.0 计算机视觉 0 4 2025-03-26 详情 相关项目 评论(0) 创建项目 文件列表 preprocessor_config.json pytorch_model.bin config.json model.safetensors preprocessor_config.json (0.00M) 下载反馈...
ViTMatte is a state-of-the-art image matting model. It leverages plain Vision Transformers (ViTs) to accurately estimate the foreground object in images and videos. We see ViTMatte, its architecture, practical implementation steps, and its contributions
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Boosting Image Matting with Pretrained Plain Vision Transformers - ViTMatte/docs/installation.md at main · Jerry-Master/ViTMatte
ViTMatte is a state-of-the-art image matting model. It leverages plain Vision Transformers (ViTs) to accurately estimate the foreground object in images and videos. We see ViTMatte, its architecture, practical implementation steps, and its contributions
python run_one_image.py \ --model vitmatte-s \ --checkpoint-dir path/to/checkpoint The demo images will be saved in./demo. You could also try with your own image and trimap with the same file. Besides, you can also try ViTMatte in ...