Results 121 to 130 of about 3,364 (218)

3D Gaussian Splatting in Robotics: A Survey

CoRR
Dense 3D representations of the environment have been a long-term goal in the robotics field. While previous Neural Radiance Fields (NeRF) representation have been prevalent for its implicit, coordinate-based model, the recent emergence of 3D Gaussian Splatting (3DGS) has demonstrated remarkable potential in its explicit radiance field representation ...
Zhu, Siting, Wang, Guangming, Kong, Xin, Kong, Dezhi, Wang, Hesheng   +4 more
openaire   +2 more sources

Cut-and-Splat: Leveraging Gaussian Splatting for Synthetic Data Generation

Generating synthetic images is a useful method for cheaply obtaining labeled data for training computer vision models. However, obtaining accurate 3D models of relevant objects is necessary, and the resulting images often have a gap in realism due to challenges in simulating lighting effects and camera artifacts.
Bram Vanhele, Brent Zoomers, Jeroen Put, Frank Van Reeth, Nick Michiels   +4 more
openaire   +3 more sources

Utilizing JIT Python runtime and parameter optimization for CPU-based Gaussian Splatting thumbnailer

Array
Gaussian Splatting has emerged as a powerful technique for high-fidelity 3D scene representation, yet its computational demands hinder rapid visualization, particularly on CPU-based systems.
Evgeni Genchev, Dimitar Rangelov, Kars Waanders, Sierd Waanders   +3 more
doaj   +1 more source

MVS-Splatting: Fast Multi-View Stereo Depth Fusion for 3D Gaussian Splatting Initialization

IEEE Access
Images and videos allow us to explore places and connect to people all around the world, in the present or past. What if we could break through the glass screen in front of us and step into those camera captures.
Julie Artois, Peter Lambert, Glenn van Wallendael   +2 more
doaj   +1 more source

Text-to-3D using Gaussian Splatting

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
To appear at CVPR 2024. Project page: https://gsgen3d.github.io.
Zilong Chen, Feng Wang 0034, Yikai Wang 0001, Huaping Liu 0001   +3 more
openaire   +2 more sources

Depth-Gradient-Guided Decoupled Optimization in 3D Gaussian Splatting for Sparse-View Reconstruction

Applied Sciences
3D Gaussian Splatting (3DGS) achieves high-quality novel-view synthesis under dense inputs but suffers from severe overfitting and geometric artifacts in sparse-view settings.
Xiang Lian, Zongji Wang, Hong Wang
doaj   +1 more source

CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization

CoRR
ICCV 2025, Project Page: https://cl-splats.github ...
Jan Ackermann, Jonas Kulhanek, Shengqu Cai, Haofei Xu, Marc Pollefeys, Gordon Wetzstein, Leonidas J. Guibas, Songyou Peng   +7 more
openaire   +2 more sources

Li-GS: a fast 3D Gaussian reconstruction method assisted by LiDAR point clouds

Big Earth Data
Digital twin technology, serving as a bridge between the physical and digital worlds, has demonstrated significant potential across various fields. In the domain of 3D reconstruction, recent advancements in Neural Radiance Fields (NeRF) and 3D Gaussian ...
Wenzhuo Chen, Ruofei Zhong, Kangfei Wang, Donghai Xie   +3 more
doaj   +1 more source

RD-SLAM: Real-Time Dense SLAM Using Gaussian Splatting

Applied Sciences
Simultaneous localization and mapping (SLAM) is fundamental for intelligent mobile units to perform diverse tasks. Recent work has shown that integrating neural rendering and SLAM showed promising results in photorealistic environment reconstruction ...
Chaoyang Guo, Chunyan Gao, Yiyang Bai, Xiaoling Lv   +3 more
doaj   +1 more source

LumiGauss: Relightable Gaussian Splatting in the Wild

2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Decoupling lighting from geometry using unconstrained photo collections is notoriously challenging. Solving it would benefit many users as creating complex 3D assets takes days of manual labor. Many previous works have attempted to address this issue, often at the expense of output fidelity, which questions the practicality of such methods.
Joanna Kaleta, Kacper Kania, Tomasz Trzcinski, Marek Kowalski   +3 more
openaire   +2 more sources