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We introduce GaussianCut, a new method for interactive multiview segmentation of scenes represented as 3D Gaussians. Our approach allows for selecting the objects to be segmented by interacting with a single view. It accepts intuitive user…

Computer Vision and Pattern Recognition · Computer Science 2024-11-13 Umangi Jain , Ashkan Mirzaei , Igor Gilitschenski

In this paper, we introduce Trim 3D Gaussian Splatting (TrimGS) to reconstruct accurate 3D geometry from images. Previous arts for geometry reconstruction from 3D Gaussians mainly focus on exploring strong geometry regularization. Instead,…

Computer Vision and Pattern Recognition · Computer Science 2024-06-12 Lue Fan , Yuxue Yang , Minxing Li , Hongsheng Li , Zhaoxiang Zhang

Recently, 3D Gaussian, as an explicit 3D representation method, has demonstrated strong competitiveness over NeRF (Neural Radiance Fields) in terms of expressing complex scenes and training duration. These advantages signal a wide range of…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Kun Lan , Haoran Li , Haolin Shi , Wenjun Wu , Yong Liao , Lin Wang , Pengyuan Zhou

3D Gaussian Splatting has emerged as an alternative 3D representation for novel view synthesis, benefiting from its high-quality rendering results and real-time rendering speed. However, the 3D Gaussians learned by 3D-GS have ambiguous…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Xu Hu , Yuxi Wang , Lue Fan , Chuanchen Luo , Junsong Fan , Zhen Lei , Qing Li , Junran Peng , Zhaoxiang Zhang

Accurate object segmentation is crucial for high-quality scene understanding in the 3D vision domain. However, 3D segmentation based on 3D Gaussian Splatting (3DGS) struggles with accurately delineating object boundaries, as Gaussian…

Computer Vision and Pattern Recognition · Computer Science 2025-03-27 Jiaxin Zhang , Junjun Jiang , Youyu Chen , Kui Jiang , Xianming Liu

3D Gaussian Splatting (3DGS) has recently unlocked real-time, high-fidelity novel view synthesis by representing scenes using explicit 3D primitives. However, traditional methods often require millions of Gaussians to capture complex…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Anh Thuan Tran , Jana Kosecka

Reconstructing and segmenting scenes from unconstrained photo collections obtained from the Internet is a novel but challenging task. Unconstrained photo collections are easier to get than well-captured photo collections. These…

Computer Vision and Pattern Recognition · Computer Science 2025-07-11 Yongtang Bao , Chengjie Tang , Yuze Wang , Haojie Li

The modeling and manipulation of 3D scenes captured from the real world are pivotal in various applications, attracting growing research interest. While previous works on editing have achieved interesting results through manipulating 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-08-15 Guan Luo , Tian-Xing Xu , Ying-Tian Liu , Xiao-Xiong Fan , Fang-Lue Zhang , Song-Hai Zhang

3D Gaussian Splatting (3DGS) has made significant strides in novel view synthesis. However, its suboptimal densification process results in the excessively large number of Gaussian primitives, which impacts frame-per-second and increases…

Computer Vision and Pattern Recognition · Computer Science 2024-11-26 Yongjae Lee , Zhaoliang Zhang , Deliang Fan

3D editing plays a crucial role in many areas such as gaming and virtual reality. Traditional 3D editing methods, which rely on representations like meshes and point clouds, often fall short in realistically depicting complex scenes. On the…

Computer Vision and Pattern Recognition · Computer Science 2023-12-21 Yiwen Chen , Zilong Chen , Chi Zhang , Feng Wang , Xiaofeng Yang , Yikai Wang , Zhongang Cai , Lei Yang , Huaping Liu , Guosheng Lin

Interactive segmentation of 3D Gaussians opens a great opportunity for real-time manipulation of 3D scenes thanks to the real-time rendering capability of 3D Gaussian Splatting. However, the current methods suffer from time-consuming…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Seokhun Choi , Hyeonseop Song , Jaechul Kim , Taehyeong Kim , Hoseok Do

Recent advances in 3D Gaussian diffusion models suffer from time-intensive denoising and post-denoising processing due to the massive number of Gaussian primitives, resulting in slow generation and limited scalability along sampling…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Zeyuan Yin , Xiaoming Liu

3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically…

Graphics · Computer Science 2025-06-25 Jonathan Haberl , Philipp Fleck , Clemens Arth

3D Gaussian Splatting has emerged as a powerful paradigm for explicit 3D scene representation, yet achieving efficient and consistent 3D segmentation remains challenging. Existing segmentation approaches typically rely on high-dimensional…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 Wentao Sun , Quanyun Wu , Hanqing Xu , Kyle Gao , Zhengsen Xu , Yiping Chen , Dedong Zhang , Lingfei Ma , John S. Zelek , Jonathan Li

3DGS employs a large number of Gaussian primitives to fit scenes, resulting in substantial storage and computational overhead. Existing pruning methods rely on manually designed criteria or introduce additional learnable parameters,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-24 Xiaobin Deng , Qiuli Yu , Changyu Diao , Min Li , Duanqing Xu

The efficient rendering and explicit nature of 3DGS promote the advancement of 3D scene manipulation. However, existing methods typically encounter challenges in controlling the manipulation region and are unable to furnish the user with…

Computer Vision and Pattern Recognition · Computer Science 2025-05-20 Yian Zhao , Wanshi Xu , Ruochong Zheng , Pengchong Qiao , Chang Liu , Jie Chen

Representation in the family of 3D Gaussian Splats (3DGS) are growing into a viable alternative to traditional graphics for an expanding number of application, including recent techniques that facilitate physics simulation and animation.…

Computer Vision and Pattern Recognition · Computer Science 2026-02-12 Clement Fuji Tsang , Anita Hu , Or Perel , Carsten Kolve , Maria Shugrina

Differentiable rendering enables efficient optimization by allowing gradients to be computed through the rendering process, facilitating 3D reconstruction, inverse rendering and neural scene representation learning. To ensure…

Graphics · Computer Science 2025-03-19 Minye Wu , Haizhao Dai , Kaixin Yao , Tinne Tuytelaars , Jingyi Yu

3D Gaussian Splatting has emerged as a powerful 3D scene representation technique, capturing fine details with high efficiency. In this paper, we introduce a novel voting-based method that extends 2D segmentation models to 3D Gaussian…

Computer Vision and Pattern Recognition · Computer Science 2024-09-20 Joji Joseph , Bharadwaj Amrutur , Shalabh Bhatnagar

Recently, impressive results have been achieved in 3D scene editing with text instructions based on a 2D diffusion model. However, current diffusion models primarily generate images by predicting noise in the latent space, and the editing…

Computer Vision and Pattern Recognition · Computer Science 2024-07-25 Junjie Wang , Jiemin Fang , Xiaopeng Zhang , Lingxi Xie , Qi Tian
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