Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection
Hongru Yan, Yu Zheng, Yueqi Duan
Abstract
Gaussians (w./o. Surface, >150K) Gaussians (w./o. Surface, >150K) Gaussians (w./ Surface, <50K) Gaussians (w./ Surface, <50K) (a) (c) (d) Figure 1: We leverage Gaussian Splatting as surface representation for multi-view based 3D object detection. Top Left: Gaussians with color and coordinate. Top Right: Gaussians with color, coordinate and surface information, but in a much fewer amount. Bottom (a-b): Object composed of Gaussians exhibits a textured surface as opposed to the top left illustration. Bottom (c-d): However, Gaussian splatting inherently introduces numerous outliers around the object.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 7a3a5c69-0628-4167-bbb0-170bf6cf291cCited by top-tier papers4
- OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary UnderstandingYanmin Wu, Jiarui Meng, Haijie Li, Chenming Wu et al.NeurIPS 2024 · 191 citations
- RaGS: Unleashing 3D Gaussian Splatting from 4D Radar and Monocular Cue for 3D Object DetectionXiaokai Bai, Chenxu Zhou, Lianqing Zheng, Jianan Liu et al.CVPR 2026
- Chain of Semantics Programming in 3D Gaussian Splatting Representation for 3D Vision GroundingJiaxin Shi, Mingyue Xiang, Hao Sun, Yixuan Huang et al.CVPR 2025
- Vision-Only Gaussian Splatting for Collaborative Semantic Occupancy PredictionCheng Chen, Hao Huang, Saurabh BagchiAAAI 2026
Builds on32
- FCOS: Fully Convolutional One-Stage Object DetectionZhi Tian, Chunhua Shen, Hao Chen, Tong HeICCV 2019 · 6,042 citations
- 3D Gaussian Splatting for Real-Time Radiance Field RenderingBernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George DrettakisSIGGRAPH 2023 · 5,687 citations
- Instant neural graphics primitives with a multiresolution hash encodingThomas Müller, Alex Evans, Christoph Schied, Alexander KellerSIGGRAPH 2022 · 4,089 citations
- Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance FieldsJonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman et al.ICCV 2021 · 2,700 citations
- NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view ReconstructionPeng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt et al.NeurIPS 2021 · 2,500 citations
Related papers
- GSRecon: Efficient Generalizable Gaussian Splatting for Surface Reconstruction from Sparse ViewsHang Yang, Le Hui, Jianjun Qian, Jin Xie et al.ICCV 2025 · 1 citation
- GauSTAR: Gaussian Surface Tracking and ReconstructionChengwei Zheng, Lixin Xue, Juan Zarate, Jie SongCVPR 2025
- VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View AlignmentQing Li, Huifang Feng, Xun Gong, Yu-Shen LiuNeurIPS 2025 · 8 citations
- GaussianCut: Interactive segmentation via graph cut for 3D Gaussian SplattingUmangi Jain, Ashkan Mirzaei, Igor GilitschenskiNeurIPS 2024 · 35 citations
- SurfaceSplat: Connecting Surface Reconstruction and Gaussian SplattingZihui Gao, Jia-Wang Bian, Guosheng Lin, Hao Chen et al.ICCV 2025 · 1 citation
