Results 81 to 90 of about 3,037 (213)
Modeling Uncertainty in 3D Gaussian Splatting Through Continuous Semantic Splatting
In this paper, we present a novel algorithm for probabilistically updating and rasterizing semantic maps within 3D Gaussian Splatting (3D-GS). Although previous methods have introduced algorithms which learn to rasterize features in 3D-GS for enhanced scene understanding, 3D-GS can fail without warning which presents a challenge for safety-critical ...
Wilson, Joey +8 more
openaire +2 more sources
DiffLiGS: Diffusion-Guided LiDAR-Enhanced 3D Gaussian Splatting
Multi-view 3D reconstruction is essential for smart city, supporting applications such as smart city planning and autonomous navigation. While traditional reconstruction pipelines and recent neural implicit methods, such as NeRF, achieve high visual ...
Shucheng Gong +4 more
doaj +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Integration of 3D Gaussian Splatting and Neural Radiance Fields in Virtual Reality Fire Fighting
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 +5 more
doaj +1 more source
ABSTRACT The accurate documentation of bodies, injuries, death scenes, accidents, and crime scenes is fundamental to forensic investigations. Traditional two‐dimensional (2D) photography and written reports have inherent limitations in representing complex spatial relationships.
Haruki Fukuda +7 more
wiley +1 more source
Distilled-3DGS:Distilled 3D Gaussian Splatting
3D Gaussian Splatting (3DGS) has exhibited remarkable efficacy in novel view synthesis (NVS). However, it suffers from a significant drawback: achieving high-fidelity rendering typically necessitates a large number of 3D Gaussians, resulting in substantial memory consumption and storage requirements.
Xiang, Lintao +3 more
openaire +2 more sources
EdgeGaussians - 3D Edge Mapping via Gaussian Splatting
With their meaningful geometry and their omnipresence in the 3D world, edges are extremely useful primitives in computer vision. 3D edges comprise of lines and curves, and methods to reconstruct them use either multi-view images or point clouds as input. State-of-the-art image-based methods first learn a 3D edge point cloud then fit 3D edges to it. The
Chelani, Kunal +3 more
openaire +2 more sources
Extending OGRE with Light Propagation Volumes [PDF]
OGRE is a popular open source rendering engine that offers an extensive set of core features. For more advanced rendering techniques, however, the engine must be extended in various ways.
Elvek, Johan
core
Multiple Uncertainties in Time-Variant Cosmological Particle Data [PDF]
Though the mediums for visualization are limited, the potential dimensions of a dataset are not. In many areas of scientific study, understanding the correlations between those dimensions and their uncertainties is pivotal to mining useful information ...
Haroz, Steve +2 more
core +4 more sources
3D As‐Built Environments in Extended Reality Applications: A Systematic Review
This systematic review identifies BIM and game engines as the primary tools for integrating 3D as‐built environments into XR. While multi‐sensor fusion and multimodal interaction enhance immersion, persistent challenges like manual modeling and bandwidth limitations continue to hinder full ecosystem maturation.
Jesús Balado +4 more
wiley +1 more source

