Results 61 to 70 of about 897,519 (241)

NePO: Neural Point Octrees for Large‐Scale Novel View Synthesis

Computer Graphics Forum, EarlyView.
We introduce Neural Point Octrees (NePOs), a scalable radiance field representation that organises point clouds hierarchically for efficient optimisation and rendering of large scale scenes. NePOs enable level of detail selection, joint refinement of appearance and camera poses, and real‐time rendering of hundreds of millions of points.
Noah Lewis, Darius Rückert, Marc Stamminger, Linus Franke   +3 more
wiley   +1 more source

Democratising Multi‐Projector Displays

Computer Graphics Forum, EarlyView.
Spatially augmented reality (SAR) transforms large, surround, collaborative experiences out of VR/AR headsets to the real world by merging content from projectors with the physical environment. This detailed state‐of‐the‐art survey reports on the advancements in multi‐projector aggregation and hardware technologies used to achieve SAR and build ...
Aditi Majumder, Muhammad Twaha Ibrahim
wiley   +1 more source

MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction [PDF]

ACM Transactions on Graphics
While recent advances in Gaussian Splatting have enabled fast reconstruction of high-quality 3D scenes from images, extracting accurate surface meshes remains a challenge.
Antoine Guédon, Diego Gomez, N. Maruani, Bingchen Gong, G. Drettakis, M. Ovsjanikov   +5 more
semanticscholar   +1 more source

Style Brush: Guided Style Transfer for 3D Objects

Computer Graphics Forum, EarlyView.
We introduce Style Brush, a guided 3D style‐transfer method for textured meshes that provides precise creative control. It supports the use of multiple style images, smooth transitions and intuitive guidance, producing visually appealing textures that follow user intent as we demonstrate in our user study and results. Abstract We introduce Style Brush,
Áron Samuel Kovács, Pedro Hermosilla, Renata G. Raidou   +2 more
wiley   +1 more source

Structured-Li-GS: Structured 3D Gaussians Splatting with LiDAR Incorporation and Spatial Constraints [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
In this study, we develop a Structured framework for Gaussian Splatting (3DGS) with LiDAR integration (Structured-Li-GS). It is a lightweight Gaussian Splatting pipeline that leverages LiDAR–inertial–visual SLAM.
H. Weng, H. Li, C. M. Yeum
doaj   +1 more source

RotGS: Rotation‐Guided 3D Gaussian Splatting for Turntable Sequences without Structure‐from‐Motion

Computer Graphics Forum, EarlyView.
Abstract The field of 3D reconstruction from multi‐view images has advanced rapidly thanks to 3D Gaussian Splatting (3DGS), which enables efficient and photorealistic scene representation. However, optimizing 3DGS requires high‐quality images from various viewpoints with accurate camera poses.
Kyumin Kim, Dohae Lee, Hanul Baek, In‐Kwon Lee   +3 more
wiley   +1 more source

EndoDGS: Degradation-Decoupled Gaussian Splatting for Endoscopic Novel-View Reconstruction

Photonics
Reliable three-dimensional (3D) reconstruction from endoscopic video is essential for endoscopic digital twins, scene review, and minimally invasive visual analysis.
Jiahong Dong, Hongshuai Qin, Xingru Huang, Zhiwen Zheng, Lihuan Shao, Huiyu Qi, Xiaoshuai Zhang, Jin Liu   +7 more
doaj   +1 more source

SceneSplat: Gaussian Splatting-Based Scene Understanding with Vision-Language Pretraining [PDF]

IEEE International Conference on Computer Vision
Recognizing arbitrary or previously unseen categories is essential for comprehensive real-world 3D scene understanding. Currently, all existing methods rely on 2D or textual modalities during training or together at inference.
Yue Li, Qi Ma, Run-Yi Yang, Hua-Peng Li, Meng-Jiao Ma, Bin Ren, Nikola Popovic, N. Sebe, E. Konukoglu, Theo Gevers, L. van Gool, Martin R. Oswald, D. Paudel   +12 more
semanticscholar   +1 more source

Multi‐Spectral Gaussian Splatting with Neural Color Representation

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer, Josef Grün, Maximilian Weiherer, Bernhard Egger, Marc Stamminger, Linus Franke   +5 more
wiley   +1 more source

Dual-Dimensional Gaussian Splatting Integrating 2D and 3D Gaussians for Surface Reconstruction

Applied Sciences
Three-Dimensional Gaussian Splatting (3DGS) has revolutionized novel-view synthesis, enabling real-time rendering of high-quality scenes. Two-Dimensional Gaussian Splatting (2DGS) improves geometric accuracy by replacing 3D Gaussians with flat 2D ...
Jichan Park, Jae-Won Suh, Yuseok Ban
doaj   +1 more source