Results 41 to 50 of about 14,278 (275)
Multi-time-horizon Solar Forecasting Using Recurrent Neural Network
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
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Neural Radiance Fields with Hash-Low-Rank Decomposition
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
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Play and Learn: Using Video Games to Train Computer Vision Models [PDF]
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
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Initial Experiments on the Use of Radiance Fields for Underwater 3D Reconstruction [PDF]
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
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MaRF: Representing Mars as Neural Radiance Fields
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
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Plenoxels: Radiance Fields without Neural Networks
For video and code, please see https://alexyu.net ...
Yu, Alex +5 more
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A nanoflare model for active region radiance: application of artificial neural networks
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
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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
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Removing Objects From Neural Radiance Fields
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
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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

