Results 91 to 100 of about 397 (144)

Large Language Models in Electrical and Computer Engineering Education: Opportunities, Challenges and the Road Ahead

European Journal of Education, Volume 61, Issue 3, September 2026.
ABSTRACT Electrical and Computer Engineering (EE/CE) education encompasses the rigorous study of electronic systems, computing architectures, embedded platforms, signal processing and hardware–software integration. Its inherently multidisciplinary nature demands mastery of mathematical modelling and experimental validation skills that pose substantial ...
Abdulmalik Alwarafy
wiley   +1 more source

Lightweight Predictive 3D Gaussian Splats

CoRR
Recent approaches representing 3D objects and scenes using Gaussian splats show increased rendering speed across a variety of platforms and devices. While rendering such representations is indeed extremely efficient, storing and transmitting them is often prohibitively expensive.
Junli Cao, Vidit Goel, Chaoyang Wang 0001, Anil Kag, Ju Hu, Sergei Korolev, Chenfanfu Jiang, Sergey Tulyakov, Jian Ren 0005   +8 more
openaire   +3 more sources

Uncertainty-Guided Zero-Watermarking for 3D Gaussian Splatting

Applied Sciences
3D Gaussian Splatting (3DGS) has emerged as a cornerstone technique for 3D asset acquisition. However, existing copyright protection methods for 3DGS predominantly rely on embedding watermarks directly into Gaussian primitives, which inevitably degrades ...
Xiaoqiang Zhu, Kehan Long
doaj   +1 more source

Human‐in‐the‐Loop Object Segmentation for 3D Gaussian Splatting via Finger‐based VR Interface

Advanced Intelligent Systems, Volume 8, Issue 8, August 2026.
This study introduces a human‐in‐the‐loop segmentation framework for 3D Gaussian Splatting that integrates real‐time optimization with intuitive VR‐based finger prompting. Compared with existing automatic, learning‐based methods, it achieves significantly higher accuracy and reduced segmentation time.
Yongseok Lee, Hyunreal Park, Hyunsu Kim, Harim Ji, Dongho Yee, Dongjun Lee   +5 more
wiley   +1 more source

Integration of 3D Gaussian Splatting and Neural Radiance Fields in Virtual Reality Fire Fighting

Remote Sensing
Neural radiance fields (NeRFs) and 3D Gaussian splatting have emerged as promising 3D reconstruction techniques recently. However, their application in virtual reality (VR), particularly in firefighting training, remains underexplored.
Haojie Lian, Kangle Liu, Ruochen Cao, Ziheng Fei, Xin Wen, Leilei Chen   +5 more
doaj   +1 more source

Impact of Rain on 3D Reconstruction with Multi-View Stereo, Neural Radiance Fields and Gaussian Splatting [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Image-based 3D reconstruction uncovers many applications in documenting the geometry of the environment. Nonetheless, the assumption that images are captured in clear air rarely holds in real-world settings where adverse weather conditions are inevitable.
I. Petrovska, B. Jutzi
doaj   +1 more source

The Impact and Outlook of 3D Gaussian Splatting

CoRR
Article written for Frontiers of Science Award, International Congress on Basic Science ...
openaire   +2 more sources

NeRF is a Valuable Assistant for 3D Gaussian Splatting

2025 IEEE/CVF International Conference on Computer Vision (ICCV)
We introduce NeRF-GS, a novel framework that jointly optimizes Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS). This framework leverages the inherent continuous spatial representation of NeRF to mitigate several limitations of 3DGS, including sensitivity to Gaussian initialization, limited spatial awareness, and weak inter-Gaussian ...
Shuangkang Fang, I-Chao Shen, Takeo Igarashi, Yufeng Wang 0004, Zesheng Wang 0002, Yi Yang 0033, Wenrui Ding, Shuchang Zhou 0001   +7 more
openaire   +2 more sources

Poison-splat: Computation Cost Attack on 3D Gaussian Splatting

CoRR
3D Gaussian splatting (3DGS), known for its groundbreaking performance and efficiency, has become a dominant 3D representation and brought progress to many 3D vision tasks. However, in this work, we reveal a significant security vulnerability that has been largely overlooked in 3DGS: the computation cost of training 3DGS could be maliciously tampered ...
Jiahao Lu, Yifan Zhang 0004, Qiuhong Shen, Xinchao Wang, Shuicheng Yan   +4 more
openaire   +3 more sources

3D-GSW: 3D Gaussian Splatting for Robust Watermarking

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
As 3D Gaussian Splatting (3D-GS) gains significant attention and its commercial usage increases, the need for watermarking technologies to prevent unauthorized use of the 3D-GS models and rendered images has become increasingly important. In this paper, we introduce a robust watermarking method for 3D-GS that secures copyright of both the model and its
Youngdong Jang, Hyunje Park, Feng Yang 0008, Heeju Ko, Euijin Choo, Sangpil Kim   +5 more
openaire   +2 more sources