Results 21 to 30 of about 3,165,496 (285)
Hyperspectral Neural Radiance Fields
CoRRHyperspectral Imagery (HSI) has been used in many applications to non-destructively determine the material and/or chemical compositions of samples. There is growing interest in creating 3D hyperspectral reconstructions, which could provide both spatial and spectral information while also mitigating common HSI challenges such as non-Lambertian surfaces ...
Gerry Chen +6 more
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Multi-channel volume density neural radiance field for hyperspectral imaging [PDF]
Scientific ReportsHyperspectral imaging and Neural Radiance Field (NeRF) can be combined in powerful ways. With limited hyperspectral images, NeRF can generate images of objects with spectral information from arbitrary viewpoints, which can effectively mitigate defects ...
Runchuan Ma, Sailing He
doaj +2 more sources
Evaluating Neural Radiance Fields for 3D Plant Geometry Reconstruction in Field Conditions [PDF]
Plant PhenomicsWe evaluate different Neural Radiance Field (NeRF) techniques for the 3D reconstruction of plants in varied environments, from indoor settings to outdoor fields.
Muhammad Arbab Arshad +7 more
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CamP: Camera Preconditioning for Neural Radiance Fields
ACM Transactions on Graphics, 2023 Neural Radiance Fields (NeRF) can be optimized to obtain high-fidelity 3D scene reconstructions of objects and large-scale scenes. However, NeRFs require accurate camera parameters as input --- inaccurate camera parameters result in blurry renderings.
Ricardo Martin Brualla, Jon Barron
exaly +3 more sources
Leveraging Neural Radiance Fields for Large-Scale 3D Reconstruction from Aerial Imagery
Remote SensingSince conventional photogrammetric approaches struggle with with low-texture, reflective, and transparent regions, this study explores the application of Neural Radiance Fields (NeRFs) for large-scale 3D reconstruction of outdoor scenes, since NeRF-based
Max Hermann +3 more
doaj +3 more sources
Neural Articulated Radiance Field [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 We present Neural Articulated Radiance Field (NARF), a novel deformable 3D representation for articulated objects learned from images. While recent advances in 3D implicit representation have made it possible to learn models of complex objects, learning pose-controllable representations of articulated objects remains a challenge, as current methods ...
Atsuhiro Noguchi +3 more
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DOUBLE NERF: REPRESENTING DYNAMIC SCENES AS NEURAL RADIANCE FIELDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Neural Radiance Fields (NeRFs) are non-convolutional neural models that learn 3D scene structure and color to produce novel images of a given scene from a new view point.
V. V. Kniaz +7 more
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Instance Neural Radiance Field
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 International Conference on Computer Vision (ICCV ...
Benran Hu 0001 +4 more
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INITIAL ASSESSMENT ON THE USE OF STATE-OF-THE-ART NERF NEURAL NETWORK 3D RECONSTRUCTION FOR HERITAGE DOCUMENTATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 In recent decades, photogrammetry has re-emerged as a viable solution for heritage documentation. Developments in various computer vision methods have helped photogrammetry to compete against the laser scanning technology, eventually becoming ...
A. Murtiyoso, P. Grussenmeyer
doaj +1 more source
Neural Radiance Field Codebooks
CoRR, 2023 19 pages, 8 figures, 9 ...
Matthew Wallingford +6 more
openaire +3 more sources