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Global Structure-From-Motion Enhanced Neural Radiance Fields 3D Reconstruction [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Urban three-dimensional modeling involves digitizing geographical elements such as urban ground and architecture, profoundly impacting urban management, planning, and development.
T. Ye, H. Huang, Y. Liu, J. Yang
doaj   +1 more source

Neural Radiance Fields for High-Resolution Remote Sensing Novel View Synthesis

open access: yesRemote Sensing, 2023
Remote sensing images play a crucial role in remote sensing target detection and 3D remote sensing modeling, and the enhancement of resolution holds significant application implications.
Junwei Lv   +4 more
doaj   +1 more source

Appearance Enhancement and Semantic Segmentation-based Neural Radiance Fields [PDF]

open access: yesJisuanji kexue
The accelerated advancement of deep learning has notably propelled 3D reconstruction techniques within the field of computer vision.NeRFs have become an essential methodology due to their adeptness at scene modeling and superior view synthesis.However ...
CAO Mingwei, HUANG Baolong, ZHAO Haifeng
doaj   +1 more source

PyNeRF: Pyramidal Neural Radiance Fields

open access: yesAdvances in Neural Information Processing Systems 36, 2023
Neural Radiance Fields (NeRFs) can be dramatically accelerated by spatial grid representations. However, they do not explicitly reason about scale and so introduce aliasing artifacts when reconstructing scenes captured at different camera distances. Mip-NeRF and its extensions propose scale-aware renderers that project volumetric frustums rather than ...
Haithem Turki   +3 more
openaire   +3 more sources

Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields [PDF]

open access: yes, 2022
We present Loc-NeRF, a real-time vision-based robot localization approach that combines Monte Carlo localization and Neural Radiance Fields (NeRF). Our system uses a pre-trained NeRF model as the map of an environment and can localize itself in real-time
Mario, Courtney   +4 more
core  

Neural Scanning: Rendering and determining geometry of household objects using Neural Radiance Fields

open access: yes, 2023
International audienceIn this paper we present a hardware and software framework for Neural Scanning of household objects using Neural Radiance Fields (NeRF).
Caron, Guillaume   +5 more
core   +1 more source

Locally Stylized Neural Radiance Fields

open access: yes2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
ICCV ...
Hong-Wing Pang   +2 more
openaire   +2 more sources

NEURAL RADIANCE FIELDS (NERF): REVIEW AND POTENTIAL APPLICATIONS TO DIGITAL CULTURAL HERITAGE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Neural Radiance Fields (NeRF or NeRFs) are to date emerging as a novel method for synthesizing novel views of complex 3D scenes, leveraging an artificial neural network to optimize a volumetric scene function using a set of input views.
V. Croce   +4 more
doaj   +1 more source

Hallucinated Neural Radiance Fields in the Wild

open access: yes2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Accepted by CVPR 2022. Project website: https://rover-xingyu.github.io/Ha-NeRF/
Xingyu Chen   +6 more
openaire   +3 more sources

nerf2nerf: Pairwise Registration of Neural Radiance Fields [PDF]

open access: yes, 2022
We introduce a technique for pairwise registration of neural fields that extends classical optimization-based local registration (i.e. ICP) to operate on Neural Radiance Fields (NeRF) -- neural 3D scene representations trained from collections of ...
Sabour, Sara   +4 more
core  

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