Results 11 to 20 of about 25,965 (227)
VM-NeRF: Tackling Sparsity in NeRF with View Morphing
, 2023 NeRF aims to learn a continuous neural scene representation by using a finite set of input images taken from various viewpoints. A well-known limitation of NeRF methods is their reliance on data: the fewer the viewpoints, the higher the likelihood of overfitting.
Bortolon, Matteo +2 more
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NERF FOR HERITAGE 3D RECONSTRUCTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Conventional or learning-based 3D reconstruction methods from images have clearly shown their potential for 3D heritage documentation. Nevertheless, Neural Radiance Field (NeRF) approaches are recently revolutionising the way a scene can be rendered or ...
G. Mazzacca +6 more
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Continuous Dynamic-NeRF: Spline-NeRF
, 2022 The problem of reconstructing continuous functions over time is important for problems such as reconstructing moving scenes, and interpolating between time steps. Previous approaches that use deep-learning rely on regularization to ensure that reconstructions are approximately continuous, which works well on short sequences.
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A COMPARISON BETWEEN 3D RECONSTRUCTION USING NERF NEURAL NETWORKS AND MVS ALGORITHMS ON CULTURAL HERITAGE IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 In this research, an innovative comparison between 3D reconstructions obtained by means of Artificial Intelligence, in particular NeRF Neural Networks, and by Structure-from-Motion (SfM) and Multi-View-Stereo (MVS) open-source algorithms is proposed. The
F. Condorelli +3 more
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Complex-Motion NeRF: Joint Reconstruction and Pose Optimization With Motion and Depth Priors
IEEE Access, 2023 We present Complex-Motion Neural Radiance Fields (CM-NeRF), which is a method that leverages motion and depth priors to optimize neural 3D scene representations and complex 6-DoF camera motions jointly.
Hyunjin Kim +3 more
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Un danger de la chirurgie thyroidienne: le nerf larynge inferieur non recurrent: cas clinique
The Pan African Medical Journal, 2020 Les lésions du nerf laryngé inférieur représentent les complications les plus dévastatrices de la chirurgie thyroïdienne. L´identification du nerf laryngé inférieur est d´autant plus difficile que son trajet est atypique.
Moustapha Ndiaye +7 more
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A new method for reconstructing building model using machine learning
Journal of Intelligent ConstructionThree-dimensional (3D) model reconstruction is used in an increasing number of fields related to construction, such as urban planning, mobile communication planning, and solar power assessment.
Shengjie Wu +5 more
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Remote Sensing, 2023 3D reconstruction of urban scenes is an important research topic in remote sensing. Neural Radiance Fields (NeRFs) offer an efficient solution for both structure recovery and novel view synthesis.
Xuanzhu Chen +4 more
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A model for the anisotropic response of fibrous soft tissues using six discrete fibre bundles [PDF]
, 2010 The development of accurate constitutive models of fibrous soft-tissues is a challenging problem. Many consider the tissue to be a collection of fibres with a continuous distribution function representing their orientations. A novel discrete fibre model
Flynn, C., Nielsen, P., Rubin, M. B.
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3D representation of Architectural Heritage: a comparative analysis of NeRF, Gaussian Splatting, and SfM-MVS reconstructions using low-cost sensors [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesThis study evaluates the performance of three image-based 3D reconstruction methods—Structure-from-Motion with Multi-View Stereo (SfM-MVS), Neural Radiance Fields (NeRF), and Gaussian Splatting (GS)—for documenting Architectural Heritage (AH).
P. Clini +3 more
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