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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…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Masaya Takabe , Hiroshi Watanabe , Sujun Hong , Tomohiro Ikai , Zheming Fan , Ryo Ishimoto , Kakeru Sugimoto , Ruri Imichi

Accurate and realistic 3D scene reconstruction enables the lifelike creation of autonomous driving simulation environments. With advancements in 3D Gaussian Splatting (3DGS), previous studies have applied it to reconstruct complex dynamic…

Computer Vision and Pattern Recognition · Computer Science 2025-02-21 Yedong Shen , Xinran Zhang , Yifan Duan , Shiqi Zhang , Heng Li , Yilong Wu , Jianmin Ji , Yanyong Zhang

We introduce GSVisLoc, a visual localization method designed for 3D Gaussian Splatting (3DGS) scene representations. Given a 3DGS model of a scene and a query image, our goal is to estimate the camera's position and orientation. We…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Fadi Khatib , Dror Moran , Guy Trostianetsky , Yoni Kasten , Meirav Galun , Ronen Basri

3D Gaussian Splatting (3DGS) has demonstrated impressive performance in scene reconstruction. However, most existing GS-based surface reconstruction methods focus on 3D objects or limited scenes. Directly applying these methods to…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Yuanyuan Gao , Yalun Dai , Hao Li , Weicai Ye , Junyi Chen , Danpeng Chen , Dingwen Zhang , Tong He , Guofeng Zhang , Junwei Han

Transparent object manipulation remains a significant challenge in robotics due to the difficulty of acquiring accurate and dense depth measurements. Conventional depth sensors often fail with transparent objects, resulting in incomplete or…

Computer Vision and Pattern Recognition · Computer Science 2025-02-19 Jeongyun Kim , Jeongho Noh , Dong-Guw Lee , Ayoung Kim

We present FlashSLAM, a novel SLAM approach that leverages 3D Gaussian Splatting for efficient and robust 3D scene reconstruction. Existing 3DGS-based SLAM methods often fall short in sparse view settings and during large camera movements…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Phu Pham , Damon Conover , Aniket Bera

In this paper, we present a method for localizing a query image with respect to a precomputed 3D Gaussian Splatting (3DGS) scene representation. First, the method uses 3DGS to render a synthetic RGBD image at some initial pose estimate.…

Computer Vision and Pattern Recognition · Computer Science 2025-05-02 Jongwon Lee , Timothy Bretl

Recently, Gaussian Splatting, a method that represents a 3D scene as a collection of Gaussian distributions, has gained significant attention in addressing the task of novel view synthesis. In this paper, we highlight a fundamental…

Computer Vision and Pattern Recognition · Computer Science 2024-10-31 Haoxuan Qu , Zhuoling Li , Hossein Rahmani , Yujun Cai , Jun Liu

Gaussian Splatting has recently become one of the most popular frameworks for photorealistic 3D scene reconstruction and rendering. While current rasterizers allow for efficient mappings of 3D Gaussian splats onto 2D camera views, this work…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Daniel Lieber , Alexander Mock , Nils Wandel

Reconstructing 3D scenes from sparse images remains a challenging task due to the difficulty of recovering accurate geometry and texture without optimization. Recent approaches leverage generalizable models to generate 3D scenes using 3D…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Bing He , Jingnan Gao , Yunuo Chen , Ning Cao , Gang Chen , Zhengxue Cheng , Li Song , Wenjun Zhang

Recent advances in 3D Gaussian Splatting (3DGS) have enabled real-time, photorealistic scene reconstruction. However, conventional 3DGS frameworks typically rely on sparse point clouds derived from Structure-from-Motion (SfM), which…

Graphics · Computer Science 2026-03-25 Yan Fang , Jianfei Ge , Jiangjian Xiao

We present a novel method for 6-DoF object tracking and high-quality 3D reconstruction from monocular RGBD video. Existing methods, while achieving impressive results, often struggle with complex objects, particularly those exhibiting…

Computer Vision and Pattern Recognition · Computer Science 2025-05-20 Takuya Ikeda , Sergey Zakharov , Muhammad Zubair Irshad , Istvan Balazs Opra , Shun Iwase , Dian Chen , Mark Tjersland , Robert Lee , Alexandre Dilly , Rares Ambrus , Koichi Nishiwaki

3D object generation from a single image involves estimating the full 3D geometry and texture of unseen views from an unposed RGB image captured in the wild. Accurately reconstructing an object's complete 3D structure and texture has…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Hritam Basak , Hadi Tabatabaee , Shreekant Gayaka , Ming-Feng Li , Xin Yang , Cheng-Hao Kuo , Arnie Sen , Min Sun , Zhaozheng Yin

Opaque objects reconstructed by 3DGS often exhibit a falsely transparent surface, leading to inconsistent background and internal patterns under camera motion in interactive viewing. This issue stems from the ill-posed optimization in 3DGS.…

Graphics · Computer Science 2025-10-20 Aly El Hakie , Yiren Lu , Yu Yin , Michael Jenkins , Yehe Liu

Human activities are inherently complex, often involving numerous object interactions. To better understand these activities, it is crucial to model their interactions with the environment captured through dynamic changes. The recent…

Computer Vision and Pattern Recognition · Computer Science 2024-10-03 Daiwei Zhang , Gengyan Li , Jiajie Li , Mickaël Bressieux , Otmar Hilliges , Marc Pollefeys , Luc Van Gool , Xi Wang

Image-based 3D scene reconstruction, which transforms multi-view images into a structured 3D representation of the surrounding environment, is a common task across many modern applications. 3D Gaussian Splatting (3DGS) is a new paradigm to…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Md Musfiqur Rahman Sanim , Zhihao Shu , Bahram Afsharmanesh , AmirAli Mirian , Jiexiong Guan , Wei Niu , Bin Ren , Gagan Agrawal

Understanding how we grasp objects with our hands has important applications in areas like robotics and mixed reality. However, this challenging problem requires accurate modeling of the contact between hands and objects. To capture grasps,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Chandradeep Pokhariya , Ishaan N Shah , Angela Xing , Zekun Li , Kefan Chen , Avinash Sharma , Srinath Sridhar

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…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Chenhao Zhang , Yuanping Cao , Lei Zhang

With the rapid advancement of 3D visualization, 3D Gaussian Splatting (3DGS) has emerged as a leading technique for real-time, high-fidelity rendering. While prior research has emphasized algorithmic performance and visual fidelity, the…

Computer Vision and Pattern Recognition · Computer Science 2025-11-12 Zhaolin Wan , Yining Diao , Jingqi Xu , Hao Wang , Zhiyang Li , Xiaopeng Fan , Wangmeng Zuo , Debin Zhao

Real2Sim is becoming increasingly important with the rapid development of surgical artificial intelligence (AI) and autonomy. In this work, we propose a novel Real2Sim methodology, Instrument-Splatting, that leverages 3D Gaussian Splatting…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Shuojue Yang , Zijian Wu , Mingxuan Hong , Qian Li , Daiyun Shen , Septimiu E. Salcudean , Yueming Jin