SonoNERFs: Neural Radiance Fields Applied to Biological Echolocation Systems Allow 3D Scene Reconstruction through Perceptual Prediction [PDF]
BiomimeticsIn this paper, we introduce SonoNERFs, a novel approach that adapts Neural Radiance Fields (NeRFs) to model and understand the echolocation process in bats, focusing on the challenges posed by acoustic data interpretation without phase information ...
Wouter Jansen, Jan Steckel
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MBS-NeRF: reconstruction of sharp neural radiance fields from motion-blurred sparse images [PDF]
Scientific ReportsThe recent advance in Neural Radiance Fields (NeRF), which utilizes Multilayer Perceptrons (MLP) for implicit scene representation, enables the synthesis of realistic views from new perspectives.
Changbo Gao +3 more
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NeRFOrtho: Orthographic Projection Images Generation based on Neural Radiance Fields
International Journal of Applied Earth Observations and GeoinformationThe application value of orthographic projection images is substantial, especially in the field of remote sensing for True Digital Orthophoto Map (TDOM) generation. Existing methods for orthographic projection image generation primarily involve geometric
Dongdong Yue +6 more
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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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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
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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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Neural Radiance Field Codebooks
CoRR, 2023 19 pages, 8 figures, 9 ...
Matthew Wallingford +6 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
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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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