naver-iv

🚀 Introducing ZIM: Zero-Shot Image Matting – A Step Beyond SAM! 🚀 While SAM (Segment Anything Model) has redefined zero-shot segmentation with broad applications across multiple fields, it often falls short in delivering high-precision, fine-grained masks. That’s where ZIM comes in. ZIM (Zero-Shot Image Matting) is a groundbreaking model developed to set a new standard in precision matting while maintaining strong zero-shot capabilities. Like SAM, ZIM can generalize across diverse datasets and objects in a zero-shot paradigm. But ZIM goes beyond, delivering highly accurate, fine-grained masks that capture intricate details. Ready to elevate your AI projects with unmatched matting quality? Access ZIM on our project page, Arxiv, and Github. 1. Make the directory `zimvitb2043`. 2. Download the encoder weight and decoder weight. 3. Put them under the `zimvitb2043` directory. If you find this project useful, please consider citing: ```bibtex @article{kim2024zim, title={ZIM: Zero-Shot Image Matting for Anything}, author={Kim, Beomyoung and Shin, Chanyong and Jeong, Joonhyun and Jung, Hyungsik and Lee, Se-Yun and Chun, Sewhan and Hwang, Dong-Hyun and Yu, Joonsang}, journal={arXiv preprint arXiv:2411.00626}, year={2024} }

🚀 Introducing ZIM: Zero-Shot Image Matting – A Step Beyond SAM! 🚀 While SAM (Segment Anything Model) has redefined zero-shot segmentation with broad applications across multiple fields, it often falls short in delivering high-precision, fine-grained masks. That’s where ZIM comes in. ZIM (Zero-Shot Image Matting) is a groundbreaking model developed to set a new standard in precision matting while maintaining strong zero-shot capabilities. Like SAM, ZIM can generalize across diverse datasets and objects in a zero-shot paradigm. But ZIM goes beyond, delivering highly accurate, fine-grained masks that capture intricate details. Ready to elevate your AI projects with unmatched matting quality? Access ZIM on our project page, Arxiv, and Github. 1. Make the directory `zimvitl2092`. 2. Download the encoder weight and decoder weight. 3. Put them under the `zimvitb2092` directory. If you find this project useful, please consider citing: ```bibtex @article{kim2024zim, title={ZIM: Zero-Shot Image Matting for Anything}, author={Kim, Beomyoung and Shin, Chanyong and Jeong, Joonhyun and Jung, Hyungsik and Lee, Se-Yun and Chun, Sewhan and Hwang, Dong-Hyun and Yu, Joonsang}, journal={arXiv preprint arXiv:2411.00626}, year={2024} }