Results 71 to 80 of about 3,318,906 (295)

Exploring Seasonal Variability in the Context of Neural Radiance Fields for 3D Reconstruction on Satellite Imagery

open access: yes
In this work, the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images are investigated. Focusing on the utilization of satellite data, the study explores how SatNeRF, a novel approach in computer vision, performs
Kåreborn, Liv   +4 more
core   +2 more sources

MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields

open access: yesIEEE Access
Hinged on the representation power of neural networks, neural radiance fields (NeRF) have recently emerged as one of the promising and widely applicable methods for 3D object and scene representation.
Jaeyoung Chung   +3 more
doaj   +1 more source

VMRF: View Matching Neural Radiance Fields

open access: yesProceedings of the 30th ACM International Conference on Multimedia, 2022
Neural Radiance Fields (NeRF) have demonstrated very impressive performance in novel view synthesis via implicitly modelling 3D representations from multi-view 2D images. However, most existing studies train NeRF models with either reasonable camera pose initialization or manually-crafted camera pose distributions which are often unavailable or hard to
Jiahui Zhang   +7 more
openaire   +4 more sources

UNeRF: Time and Memory Conscious U-Shaped Network for Training Neural Radiance Fields

open access: yes, 2022
Kuganesan A, Su S-yang, Little JJ, Rhodin H. UNeRF: Time and Memory Conscious U-Shaped Network for Training Neural Radiance Fields.
Kuganesan, Abiramy   +3 more
core  

Associations Between Biomarkers of Alzheimer's Disease and Sleep in Cognitively Unimpaired Older Adults

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Sleep disturbances have been implicated as a risk factor for developing Alzheimer's disease (AD), but evidence linking plasma AD biomarkers to sleep in cognitively unimpaired individuals remains limited. The present study examined associations between evening, morning, and overnight changes in plasma AD biomarkers and measures of ...
Cornelia Sauter   +5 more
wiley   +1 more source

WaterNeRF: Neural Radiance Fields for Underwater Scenes

open access: yesOCEANS 2023 - MTS/IEEE U.S. Gulf Coast, 2023
Underwater imaging is a critical task performed by marine robots for a wide range of applications including aquaculture, marine infrastructure inspection, and environmental monitoring. However, water column effects, such as attenuation and backscattering, drastically change the color and quality of imagery captured underwater.
Advaith Venkatramanan Sethuraman   +2 more
openaire   +3 more sources

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

3D Scene Reconstruction with Neural Radiance Fields (NeRF) Considering Dynamic Illumination Conditions

open access: yesProceedings of the International Conference on Applied Innovations in IT, 2023
This paper addresses the problem of novel view synthesis using Neural Radiance Fields (NeRF) for scenes with dynamic illumination. NeRF training utilizes photometric consistency loss that is pixel-wise consistency between a set of scene images and ...
Olena Kolodiazhna   +3 more
doaj   +1 more source

Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra [PDF]

open access: yes, 2023
Neural Radiance Fields (NeRFs) are a very recent and very popular approach for the problems of novel view synthesis and 3D reconstruction. A popular scene representation used by NeRFs is to combine a uniform, voxel-based subdivision of the scene with an ...
Kulhanek, Jonas, Sattler, Torsten
core  

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

open access: yesAdvanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar   +9 more
wiley   +1 more source

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