Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction
Seungtae Nam, Xiangyu Sun, Gyeongjin Kang, Younggeun Lee, Seungjun Oh, Eunbyung Park
2025Year
3Top-tier citations
Abstract
hanced generalization. Experimental results on both objectlevel and scene-level reconstruction tasks demonstrate that our method outperforms state-of-the-art approaches with comparable or smaller model sizes, achieving notable improvements in representing fine details.
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Install the CLIlune papers fulltext d433c09b-50d7-445f-8c9f-b5a0c2cfe51bCited by top-tier papers3
- Uni3R: Unified 3D Reconstruction and Semantic Understanding via Generalizable Gaussian Splatting from Unposed Multi-View ImagesXiangyu Sun, Haoyi Jiang, Liu Liu, Seungtae Nam et al.CVPR 2026 · 28 citations
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- LongSplat: Online Generalizable 3D Gaussian Splatting from Long Sequence ImagesGuichen Huang, Ruoyu Wang, Xiangjun Gao, Che Sun et al.AAAI 2026 · 6 citations
Builds on26
- Emerging Properties in Self-Supervised Vision TransformersMathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou et al.ICCV 2021 · 8,921 citations
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- MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View StereoAnpei Chen, Zexiang Xu, Fuqiang Zhao, Xiaoshuai Zhang et al.ICCV 2021 · 1,024 citations
- Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category ReconstructionJeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone et al.ICCV 2021 · 686 citations
- 3D Gaussian Splatting as Markov Chain Monte CarloShakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun et al.NeurIPS 2024 · 285 citations
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