本月初,Meta推出的一款可以【分割一切】的模型Segment Anything Model (SAM) 已经引起了广泛的关注。今天,我们很荣幸向大家介绍一款名为“Segment Any RGBD(SAD)”的机器学习模型。与以往所有使用SAM的工具的不同之处在于,SAD读入的图片可以是经过渲染之后的深度图,让SAM直接根据几何信息来分割图像。该项目是由Visual...
本月初,Meta推出的一款可以【分割一切】的模型Segment Anything Model (SAM) 已经引起了广泛的关注。今天,我们很荣幸向大家介绍一款名为“Segment Any RGBD(SAD)”的机器学习模型。与以往所有使用SAM的工具的不同之处在于,SAD读入的图片可以是经过渲染之后的深度图,让SAM直接根据几何信息来分割图像。该项目是由Visual ...
SAD: Segment Any RGBD code:https:///jun-cen/segmentanyrgbd摘要: 分段任意模型(SAM)已经证明了它在分割2D RGB图像的任何部分方面的有效性。然而,在分割RGB图像时,SAM更重视纹理信息,而对几何信息的重视较少。为了解决这一限制,我们提出了分段Any RGBD(SAD)模型,它是专门设计用于直接从图像中提取几何信息的。...
SAD: Segment Any RGBD (SAM+Depth / SAM for RGBD) Repo SAM-HQ: Segment Anything in High Quality (High Quality Mask with SAM) Repo Calib-anything (SAM for calibration optimization) Repo Relevant Repos Towards Segmenting Anything That Moves Repo SegGPT: Segmenting Everything In Context Repo...
SAD: Segment Any RGBD (SAM+Depth / SAM for RGBD) Repo SAM-HQ: Segment Anything in High Quality (High Quality Mask with SAM) Repo Calib-anything (SAM for calibration optimization) Repo Relevant ReposTowards Segmenting Anything That Moves Repo ...
今天，我们很荣幸向大家介绍一款名为“Segment Any RGBD（SAD）”的机器学习模型。与以往所有使用SAM的...
"SAD: Segment Any RGBD." ArXiv (2023). [paper] [code] [2023.05] SPT: Zeyu Xiao, Jiawang Bai, Zhihe Lu, Zhiwei Xiong. "A Dive into SAM Prior in Image Restoration." ArXiv (2023). [paper] [2023.05] Matcher: Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, Chunhua Shen...
"SAD: Segment Any RGBD." ArXiv (2023). [paper] [code] SPT: Zeyu Xiao, Jiawang Bai, Zhihe Lu, Zhiwei Xiong. "A Dive into SAM Prior in Image Restoration." ArXiv (2023). [paper] Matcher: Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, Chunhua Shen. "Matcher: Segment ...
"SAD: Segment Any RGBD." ArXiv (2023). [paper] [code] SPT:Zeyu Xiao, Jiawang Bai, Zhihe Lu, Zhiwei Xiong. "A Dive into SAM Prior in Image Restoration." ArXiv (2023). [paper] Matcher:Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, Chunhua Shen. ...