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Recently, the 3D Gaussian Splatting (3D-GS) method has achieved great success in novel view synthesis, providing real-time rendering while ensuring high-quality rendering results. However, this method faces challenges in modeling specular…

计算机视觉与模式识别 · 计算机科学 2024-09-11 Zhiru Wang , Shiyun Xie , Chengwei Pan , Guoping Wang

Image representation is a fundamental task in computer vision. Recently, Gaussian Splatting has emerged as an efficient representation framework, and its extension to 2D image representation enables lightweight, yet expressive modeling of…

计算机视觉与模式识别 · 计算机科学 2025-12-30 Masaya Takabe , Hiroshi Watanabe , Sujun Hong , Tomohiro Ikai , Zheming Fan , Ryo Ishimoto , Kakeru Sugimoto , Ruri Imichi

3D Gaussian Splatting has emerged as a transformative technique in novel view synthesis, primarily due to its high rendering speed and photorealistic fidelity. However, its memory footprint scales rapidly with scene complexity, often…

计算机视觉与模式识别 · 计算机科学 2025-11-20 Keshav Gupta , Akshat Sanghvi , Shreyas Reddy Palley , Astitva Srivastava , Charu Sharma , Avinash Sharma

Recent advancements in 3D Gaussian Splatting(3DGS) have significantly improved semantic scene understanding, enabling natural language queries to localize objects within a scene. However, existing methods primarily focus on embedding…

计算机视觉与模式识别 · 计算机科学 2025-03-07 Xihan Wang , Dianyi Yang , Yu Gao , Yufeng Yue , Yi Yang , Mengyin Fu

3D Gaussian Splatting (3DGS) is rapidly gaining popularity for its photorealistic rendering quality and real-time performance, but it generates massive amounts of data. Hence compressing 3DGS data is necessary for the cost effectiveness of…

计算机视觉与模式识别 · 计算机科学 2026-05-21 Hao Xu , Xiaolin Wu , Xi Zhang

3D Gaussian Splatting (3DGS) leverages densely distributed Gaussian primitives for high-quality scene representation and reconstruction. While existing 3DGS methods perform well in scenes with minor view variation, large view changes from…

计算机视觉与模式识别 · 计算机科学 2025-04-29 Chenhao Zhang , Yuanping Cao , Lei Zhang

Recent progress in feed-forward 3D Gaussian Splatting (3DGS) has notably improved rendering quality. However, the spatially uniform and highly redundant 3DGS map generated by previous feed-forward 3DGS methods limits their integration into…

计算机视觉与模式识别 · 计算机科学 2026-04-06 Zicheng Zhang , Xiangting Meng , Ke Wu , Wenchao Ding

3D Gaussian Splatting (3D-GS) technique couples 3D Gaussian primitives with differentiable rasterization to achieve high-quality novel view synthesis results while providing advanced real-time rendering performance. However, due to the flaw…

计算机视觉与模式识别 · 计算机科学 2024-04-17 Zongxin Ye , Wenyu Li , Sidun Liu , Peng Qiao , Yong Dou

3D Gaussian Splatting (3DGS) has been widely adopted for scene reconstruction, where training inherently constitutes a highly coupled and non-convex optimization problem. Recent works commonly incorporate geometric priors, such as LiDAR…

计算机视觉与模式识别 · 计算机科学 2026-04-30 Rui Song , Tianhui Cai , Markus Gross , Yun Zhang , Walter Zimmer , Zhiyu Huang , Olaf Wysocki , Jiaqi Ma

3D Gaussian Splatting (3DGS) techniques have achieved satisfactory 3D scene representation. Despite their impressive performance, they confront challenges due to the limitation of structure-from-motion (SfM) methods on acquiring accurate…

计算机视觉与模式识别 · 计算机科学 2025-01-28 Ao Gao , Luosong Guo , Tao Chen , Zhao Wang , Ying Tai , Jian Yang , Zhenyu Zhang

We present a multispectral extension to 3D Gaussian Splatting (3DGS) for wavelength-aware view synthesis. Each Gaussian is augmented with spectral radiance, represented via per-band spherical harmonics, and optimized under a dual-loss…

计算机视觉与模式识别 · 计算机科学 2026-04-16 Iris Zheng , Guojun Tang , Alexander Doronin , Paul Teal , Fang-Lue Zhang

3D Gaussian Splatting (3DGS) has recently created impressive 3D assets for various applications. However, considering security, capacity, invisibility, and training efficiency, the copyright of 3DGS assets is not well protected as existing…

计算机视觉与模式识别 · 计算机科学 2025-03-18 Zixuan Chen , Guangcong Wang , Jiahao Zhu , Jianhuang Lai , Xiaohua Xie

3D Gaussian Splatting has emerged as a powerful scene representation for real-time novel-view synthesis. However, its standard adaptive density control relies on screen-space positional gradients, which do not distinguish between geometric…

计算机视觉与模式识别 · 计算机科学 2026-05-01 Linjie Lyu , Ayush Tewari , Jianchun Chen , Thomas Leimkühler , Christian Theobalt

While 3D Gaussian Splatting (3DGS) has revolutionized real-time photorealistic view synthesis, its fundamental reliance on symmetric Gaussian distributions introduces visual artifacts that hinder accurate spatial data exploration.…

计算机视觉与模式识别 · 计算机科学 2026-05-19 Beizhen Zhao , Yifan Zhou , Gaochao Song , Ziran Yin , Hao Wang

3D Gaussian Splat (3DGS) enables high-fidelity, real-time novel view synthesis by representing scenes with large sets of anisotropic primitives, but often requires millions of Splats, incurring significant storage and transmission costs.…

计算机视觉与模式识别 · 计算机科学 2026-03-18 Butian Xiong , Rong Liu , Tiantian Zhou , Meida Chen , Zhiwen Fan , Andrew Feng

A converged 3D Gaussian Splatting (3DGS) model may approximate the target scene while remaining poorly parameterized for further optimization. We identify this failure mode as \emph{parameterization degeneration}: high-opacity floaters…

计算机视觉与模式识别 · 计算机科学 2026-05-12 Luchao Wang , Kaimin Liao , Qian Ren , Hua Wang , Zhi Chen , Yaohua Tang

3D Gaussian Splatting (3DGS) has recently advanced radiance field reconstruction by offering superior capabilities for novel view synthesis and real-time rendering speed. However, its strategy of blending optimization and adaptive density…

计算机视觉与模式识别 · 计算机科学 2024-11-12 Rong Liu , Rui Xu , Yue Hu , Meida Chen , Andrew Feng

Novel view synthesis has shown rapid progress recently, with methods capable of producing increasingly photorealistic results. 3D Gaussian Splatting has emerged as a promising method, producing high-quality renderings of scenes and enabling…

计算机视觉与模式识别 · 计算机科学 2024-07-19 Richard Shaw , Michal Nazarczuk , Jifei Song , Arthur Moreau , Sibi Catley-Chandar , Helisa Dhamo , Eduardo Perez-Pellitero

Rendering dynamic scenes from monocular videos is a crucial yet challenging task. The recent deformable Gaussian Splatting has emerged as a robust solution to represent real-world dynamic scenes. However, it often leads to heavily redundant…

计算机视觉与模式识别 · 计算机科学 2025-02-28 Hanyang Kong , Xingyi Yang , Xinchao Wang

Compression techniques for 3D Gaussian Splatting (3DGS) have recently achieved considerable success in minimizing storage overhead for 3D Gaussians while preserving high rendering quality. Despite the impressive storage reduction, the lack…

计算机视觉与模式识别 · 计算机科学 2025-10-17 Seungjoo Shin , Jaesik Park , Sunghyun Cho