提出了SA3D框架:该框架是一个创新性的3D分割方法,结合了2D分割基础模型Segment Anything Model (SAM)与辐射场模型(如NeRF和3D Gaussian Splatting),无需重新设计或重新训练即可执行3D分割任务。SA3D通过2D分割模型的扩展,提供了一种高效的方式,将2D图像信息提升到3D场景中,实现准确的3D分割。 设计了掩码逆向渲染和...
A: 论文通过提出Segment Any 3D Gaussians (SAGA) 方法来解决交互式3D分割的问题。SAGA的核心策略和步骤如下: 结合2D分割基础模型与3D Gaussian Splatting (3DGS):SAGA将2D分割基础模型(如Segment Anything Model, SAM)与3DGS相结合。3DGS使用可训练的3D高斯来表示3D场景,并提出了一种高效的可微分栅格化算法...
华科、华为等发布!任意4D高斯分割 在XR / VR中,对真实世界的建模、理解和重建是至关重要的。最近,3D高斯泼溅( 3D-GS )方法在建模和理解3D场景方面取得了显著的成功。类似地,各种4D表示也展示了捕捉4D世界动态的能力。然而,目 - 计算机视觉life于20240719发布在抖音,已
Compared to the implicit NeRF representation, we show that the discrete and grouped 3D Gaussians can reconstruct, segment and edit anything in 3D with high visual quality, fine granularity and efficiency. Based on Gaussian Grouping, we further propose a local Gaussian Editing scheme, which shows ...
To address this issue, we propose Gaussian Grouping, which extends Gaussian Splatting to jointly reconstruct and segment anything in open-world 3D scenes. We augment each Gaussian with a compact Identity Encoding, allowing the Gaussians to be grouped according to their object instance or stuff ...
Gaussian Splatting to jointly reconstruct and segment anything in open-world 3D scenes. We augment each Gaussian with a compact Identity Encoding, allowing the Gaussians to be grouped according to their object instance or stuff membership in the 3D scene. Instead of resorting to expensive 3D ...
"Semantic Anything in 3D Gaussians." ArXiv (2024). [paper] [2024.01] SimAda: Yiran Song, Qianyu Zhou, Xuequan Lu, Zhiwen Shao, Lizhuang Ma. "SimAda: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes." ArXiv (2024). [paper] [code] [2024.01] MESA:...
Segment Anything in High Quality [NeurIPS 2023]. Contribute to SysCV/sam-hq development by creating an account on GitHub.
DreamFusion提出了SDS损失作为NeRF渲染图像的损失函数，从而生成了任何角度都一致的3D模型。DreamGaussians将...
3D Segmentation Temporarily, 3D segmentation requires jupyter notebook. Please refer to prompt_segmenting.ipynb for instructions. Rendering After running the scripts in prompt_segmenting.ipynb, the bitmap of the Gaussians will be saved as ./segmentation_res/final_mask.pt (you can change it so tha...