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In this work, we introduce a generative approach for pose-free (without camera parameters) reconstruction of 360 scenes from a sparse set of 2D images. Pose-free scene reconstruction from incomplete, pose-free observations is usually…

计算机视觉与模式识别 · 计算机科学 2025-10-13 Soumava Paul , Prakhar Kaushik , Alan Yuille

Surgical simulation is essential for medical training, enabling practitioners to develop crucial skills in a risk-free environment while improving patient safety and surgical outcomes. However, conventional methods for building simulation…

计算机视觉与模式识别 · 计算机科学 2025-09-23 Zhenya Yang

Novel view synthesis of urban scenes is essential for autonomous driving-related applications.Existing NeRF and 3DGS-based methods show promising results in achieving photorealistic renderings but require slow, per-scene optimization. We…

计算机视觉与模式识别 · 计算机科学 2025-03-27 Sheng Miao , Jiaxin Huang , Dongfeng Bai , Xu Yan , Hongyu Zhou , Yue Wang , Bingbing Liu , Andreas Geiger , Yiyi Liao

This paper presents Planar Gaussian Splatting (PGS), a novel neural rendering approach to learn the 3D geometry and parse the 3D planes of a scene, directly from multiple RGB images. The PGS leverages Gaussian primitives to model the scene…

计算机视觉与模式识别 · 计算机科学 2024-12-04 Farhad G. Zanjani , Hong Cai , Hanno Ackermann , Leila Mirvakhabova , Fatih Porikli

We propose a new view synthesis method via synthesizing a 3D neural field from both single or few-view input images. To address the ill-posed nature of the image-to-3D generation problem, we devise a two-stage method that involves a…

计算机视觉与模式识别 · 计算机科学 2024-12-20 Tung Do , Thuan Hoang Nguyen , Anh Tuan Tran , Rang Nguyen , Binh-Son Hua

3D Gaussian Splatting (3DGS) has become a state-of-the-art framework for real-time, high-fidelity novel view synthesis. However, its substantial storage requirements and inherently unstructured representation pose challenges for deployment…

计算机视觉与模式识别 · 计算机科学 2026-04-14 Yuqin Lu , Yang Zhou , Yihua Dai , Guiqing Li , Shengfeng He

Implicit neural representation has paved the way for new approaches to dynamic scene reconstruction and rendering. Nonetheless, cutting-edge dynamic neural rendering methods rely heavily on these implicit representations, which frequently…

计算机视觉与模式识别 · 计算机科学 2023-11-22 Ziyi Yang , Xinyu Gao , Wen Zhou , Shaohui Jiao , Yuqing Zhang , Xiaogang Jin

3D Gaussian Splatting (3DGS) has enabled the creation of highly realistic 3D scene representations from sets of multi-view images. However, inpainting missing regions, whether due to occlusion or scene editing, remains a challenging task,…

计算机视觉与模式识别 · 计算机科学 2025-09-10 Mahtab Dahaghin , Milind G. Padalkar , Matteo Toso , Alessio Del Bue

Novel view synthesis is a fundamental task in 3D computer vision that aims to reconstruct photorealistic images from novel viewpoints given a set of posed images. However, reconstruction quality degrades sharply under sparse-view conditions…

计算机视觉与模式识别 · 计算机科学 2026-04-03 Wenjun Lu , Haodong Chen , Anqi Yi , Guoxi Huang , Yuk Ying Chung , Kun Hu , Zhiyong Wang

Gaussian Splatting has become a leading reconstruction technique, known for its high-quality novel view synthesis and detailed reconstruction. However, most existing methods require dense, calibrated views. Reconstructing from free sparse…

计算机视觉与模式识别 · 计算机科学 2026-03-20 Yibin Zhao , Yihan Pan , Jun Nan , Liwei Chen , Jianjun Yi

Novel-view synthesis plays a crucial role in computer vision with applications in 3D reconstruction, mixed reality, and robotics. Recent approaches, such as 3D Gaussian Splatting (3DGS), have emerged as state-of-the-art solutions, offering…

计算机视觉与模式识别 · 计算机科学 2026-05-12 Ankit Dhiman , Tao Lu , R Srinath , Emre Arslan , Angela Xing , Yuanbo Xiangli , R Venkatesh Babu , Srinath Sridhar

3D Gaussian Splatting has achieved impressive performance in novel view synthesis with real-time rendering capabilities. However, reconstructing high-quality surfaces with fine details using 3D Gaussians remains a challenging task. In this…

计算机视觉与模式识别 · 计算机科学 2024-12-03 Jiepeng Wang , Yuan Liu , Peng Wang , Cheng Lin , Junhui Hou , Xin Li , Taku Komura , Wenping Wang

We present a method that simultaneously addresses the tasks of dynamic scene novel-view synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We follow an analysis-by-synthesis framework, inspired by recent work…

计算机视觉与模式识别 · 计算机科学 2023-08-21 Jonathon Luiten , Georgios Kopanas , Bastian Leibe , Deva Ramanan

Recently, generalizable human Gaussian splatting from sparse-view inputs has been actively studied for the photorealistic human rendering. Most existing methods rely on explicit geometric constraints or predefined structural representations…

计算机视觉与模式识别 · 计算机科学 2026-04-29 Jingi Kim , Wonjun Kim

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

We present iFusion, a novel 3D object reconstruction framework that requires only two views with unknown camera poses. While single-view reconstruction yields visually appealing results, it can deviate significantly from the actual object,…

计算机视觉与模式识别 · 计算机科学 2023-12-29 Chin-Hsuan Wu , Yen-Chun Chen , Bolivar Solarte , Lu Yuan , Min Sun

In orthodontic treatment, particularly within telemedicine contexts, observing patients' dental occlusion from multiple viewpoints facilitates timely clinical decision-making. Recent advances in 3D Gaussian Splatting (3DGS) have shown…

计算机视觉与模式识别 · 计算机科学 2025-11-06 Yiyi Miao , Taoyu Wu , Tong Chen , Sihao Li , Ji Jiang , Youpeng Yang , Angelos Stefanidis , Limin Yu , Jionglong Su

Novel view synthesis is a task of generating scenes from unseen perspectives; however, synthesizing dynamic scenes from blurry monocular videos remains an unresolved challenge that has yet to be effectively addressed. Existing novel view…

计算机视觉与模式识别 · 计算机科学 2025-06-27 Yeon-Ji Song , Jaein Kim , Byung-Ju Kim , Byoung-Tak Zhang

3D Gaussian Splatting-based indoor open-world free-view synthesis approaches have shown significant performance with dense input images. However, they exhibit poor performance when confronted with sparse inputs, primarily due to the sparse…

计算机视觉与模式识别 · 计算机科学 2025-03-18 Guibiao Liao , Qing Li , Zhenyu Bao , Guoping Qiu , Kanglin Liu

Intraoral 3D reconstruction is fundamental to digital orthodontics, yet conventional methods like intraoral scanning are inaccessible for remote tele-orthodontics, which typically relies on sparse smartphone imagery. While 3D Gaussian…

计算机视觉与模式识别 · 计算机科学 2025-11-19 Yiyi Miao , Taoyu Wu , Tong Chen , Ji Jiang , Zhe Tang , Zhengyong Jiang , Angelos Stefanidis , Limin Yu , Jionglong Su