Results 41 to 50 of about 14,278 (275)

Multi-time-horizon Solar Forecasting Using Recurrent Neural Network

open access: yes, 2018
The non-stationarity characteristic of the solar power renders traditional point forecasting methods to be less useful due to large prediction errors.
Mishra, Sakshi, Palanisamy, Praveen
core   +1 more source

Neural Radiance Fields with Hash-Low-Rank Decomposition

open access: yesApplied Sciences
In recent advancements in novel view synthesis and neural rendering, neural radiance field (NeRF) has emerged as a powerful technique for synthesizing high-quality novel views of complex 3D scenes.
Jiaxin Wang   +3 more
doaj   +1 more source

Play and Learn: Using Video Games to Train Computer Vision Models [PDF]

open access: yes, 2016
Video games are a compelling source of annotated data as they can readily provide fine-grained groundtruth for diverse tasks. However, it is not clear whether the synthetically generated data has enough resemblance to the real-world images to improve the
Little, James J.   +2 more
core   +1 more source

Initial Experiments on the Use of Radiance Fields for Underwater 3D Reconstruction [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Underwater photogrammetry presents unique challenges, including light attenuation, refraction, and turbidity, that affect the accuracy and quality of 3D reconstructions. This study investigates the performance of novel neural rendering techniques, Neural
B. Tanduo, F. Matrone, A. Murtiyoso
doaj   +1 more source

MaRF: Representing Mars as Neural Radiance Fields

open access: yes, 2023
The aim of this work is to introduce MaRF, a novel framework able to synthesize the Martian environment using several collections of images from rover cameras. The idea is to generate a 3D scene of Mars' surface to address key challenges in planetary surface exploration such as: planetary geology, simulated navigation and shape analysis. Although there
Giusti, Lorenzo   +5 more
openaire   +3 more sources

Plenoxels: Radiance Fields without Neural Networks

open access: yes2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
For video and code, please see https://alexyu.net ...
Yu, Alex   +5 more
openaire   +2 more sources

A nanoflare model for active region radiance: application of artificial neural networks

open access: yes, 2008
Context. Nanoflares are small impulsive bursts of energy that blend with and possibly make up much of the solar background emission. Determining their frequency and energy input is central to understanding the heating of the solar corona.
Andreon   +29 more
core   +1 more source

Deep Reflectance Maps [PDF]

open access: yes, 2015
Undoing the image formation process and therefore decomposing appearance into its intrinsic properties is a challenging task due to the under-constraint nature of this inverse problem.
Fritz, Mario   +4 more
core   +3 more sources

Removing Objects From Neural Radiance Fields

open access: yes2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Neural Radiance Fields (NeRFs) are emerging as a ubiquitous scene representation that allows for novel view synthesis. Increasingly, NeRFs will be shareable with other people. Before sharing a NeRF, though, it might be desirable to remove personal information or unsightly objects.
Weder, Silvan   +6 more
openaire   +2 more sources

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

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