DroneSplat: 3D Gaussian Splatting for Robust 3D Reconstruction from In-the-Wild Drone Imagery
Jiadong Tang, Yu Gao, Dianyi Yang, Liqi Yan, Yufeng Yue, Yi Yang
2025年份
6顶会引用
摘要
Figure 1 . Given a set of drone imagery, our method effectively eliminates the impact of dynamic distractors on the static scenes (e.g., vehicles driving on the road). The right side of the figure shows the rendering results of our method compared to 3DGS under input view and novel view. Our method eliminates distractors while 3DGS generates artifacts in the corresponding regions. Moreover, our method reconstructs scenes with accurate geometry under limited viewpoints, demonstrating robustness to significant view variation (novel view).
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引用它的顶会 Paper6
- AeroDGS: Physically Consistent Dynamic Gaussian Splatting for Single-Sequence Aerial 4D ReconstructionHanyang Liu, Rongjun QinCVPR 2026 · 被引用 2 次
- DualSplat: Robust 3D Gaussian Splatting via Pseudo-Mask Bootstrapping from Reconstruction FailuresXu Wang, Zhiru Wang, Shiyun Xie, Chengwei Pan 等CVPR 2026 · 被引用 1 次
- FilterGS: Traversal-Free Parallel Filtering and Adaptive Shrinking for Large-Scale LoD 3D Gaussian SplattingYixian Wang, Haolin Yu, Jiadong Tang, Yu Gao 等CVPR 2026 · 被引用 1 次
- AeroGS: Scale-Aware Gaussian Splatting for Pose-Free Dynamic UAV Scene ReconstructionTingyun Li, Xinyi Liu, Yongjun Zhang, Yi Wan 等CVPR 2026
- Energy-GS: Image Energy-guided Pose Alignment Gaussian Splatting with redesigned pose gradient flowYu Gao, Lutong Su, Ruixiang Huang, Tianji Jiang 等CVPR 2026
它引用的顶会 Paper27
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- RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse InputsMichael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi 等CVPR 2022 · 被引用 513 次
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