Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection
Hongru Yan, Yu Zheng, Yueqi Duan
2025年份
4顶会引用
摘要
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.
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引用它的顶会 Paper4
- OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary UnderstandingYanmin Wu, Jiarui Meng, Haijie Li, Chenming Wu 等NeurIPS 2024 · 被引用 191 次
- RaGS: Unleashing 3D Gaussian Splatting from 4D Radar and Monocular Cue for 3D Object DetectionXiaokai Bai, Chenxu Zhou, Lianqing Zheng, Jianan Liu 等CVPR 2026
- Chain of Semantics Programming in 3D Gaussian Splatting Representation for 3D Vision GroundingJiaxin Shi, Mingyue Xiang, Hao Sun, Yixuan Huang 等CVPR 2025
- Vision-Only Gaussian Splatting for Collaborative Semantic Occupancy PredictionCheng Chen, Hao Huang, Saurabh BagchiAAAI 2026
它引用的顶会 Paper32
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- 3D Gaussian Splatting for Real-Time Radiance Field RenderingBernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George DrettakisSIGGRAPH 2023 · 被引用 5,687 次
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- Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance FieldsJonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman 等ICCV 2021 · 被引用 2,700 次
- NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view ReconstructionPeng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt 等NeurIPS 2021 · 被引用 2,500 次
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