Results 61 to 70 of about 2,993 (218)
UDGS-SLAM: UniDepth Assisted Gaussian Splatting for Monocular SLAM
Recent advancements in monocular neural depth estimation, particularly those achieved by the UniDepth network, have prompted the investigation of integrating UniDepth within a Gaussian splatting framework for monocular SLAM. This study presents UDGS-SLAM,
Mostafa Mansour +4 more
doaj +1 more source
In this paper, we address common error sources for 3D Gaussian Splatting (3DGS) including blur, imperfect camera poses, and color inconsistencies, with the goal of improving its robustness for practical applications like reconstructions from handheld phone captures.
Darmon, François +3 more
openaire +2 more sources
Visual Simulation of Flow [PDF]
We have adopted a numerical method from computational fluid dynamics, the Lattice Boltzmann Method (LBM), for real-time simulation and visualization of flow and amorphous phenomena, such as clouds, smoke, fire, haze, dust, radioactive plumes, and air ...
Kaufman, Arie, Zhao, Ye
core +1 more source
Abstract The flux of solar system meteoroids is dominated by objects less than 1 mm in diameter whose impact effects play a major role in the space weathering of airless body surfaces. These effects remain poorly characterized with respect to their dependence on the range of impact speeds for meteoroids across the inner solar system.
R. Christoffersen +8 more
wiley +1 more source
ABSTRACT We investigate sodium silicate glasses modified with Ce2O3 and La2O3 to explore the interplay between optical absorption, structure, and macroscopic properties. Ce doping drives a pronounced red‐shift of the absorption edge into the visible region (> 500 nm), arising from O2− →$ \to $ Ce4+ charge‐transfer and intervalence transitions ...
Minghui Sun +3 more
wiley +1 more source
Gaussian Splatting: 3D Reconstruction and Novel View Synthesis: A Review
Image-based 3D reconstruction is a challenging task that involves inferring the 3D shape of an object or scene from a set of input images. Learning-based methods have gained attention for their ability to directly estimate 3D shapes.
Anurag Dalal +3 more
doaj +1 more source
DreamGaussian4D: Generative 4D Gaussian Splatting
4D content generation has achieved remarkable progress recently. However, existing methods suffer from long optimization times, a lack of motion controllability, and a low quality of details. In this paper, we introduce DreamGaussian4D (DG4D), an efficient 4D generation framework that builds on Gaussian Splatting (GS). Our key insight is that combining
Ren, Jiawei +6 more
openaire +2 more sources
On the influence of outer large-scale structures on near-wall turbulence in channel flow
International ...
Agostini, L, Leschziner, MA
core +3 more sources
Time‐Varying 3D Gaussian Splatting Representation for Dynamic Scenes
Explicit polynomial motion and smooth rotation within the lifespan are employed to model dynamic scenes. The density control strategy based on 4D spatiotemporal and contribution scores enhances image details. Photorealistic rendering quality with real‐time performance at 160 FPS on the Neural 3D Video dataset.
Yunbiao Liu +4 more
wiley +1 more source
Improving Structure-From-Motion and Rendering Quality for Thermal Image-Based 3D Gaussian Splatting
Novel-view synthesis, which generates new views from images captured at multiple viewpoints, is widely applied in fields such as autonomous driving, robotic vision, architecture, and augmented reality.
Jinhoon Wang, Jusang Jeong, Junghyun Oh
doaj +1 more source

