Results 11 to 20 of about 7,112 (233)
Neural circuits mediating olfactory-driven behavior in fish
Frontiers in Neural Circuits, 2013 The fish olfactory system processes odor signals and mediates behaviors that are crucial for survival such as foraging, courtship and alarm response. Although the upstream olfactory brain areas (olfactory epithelium and olfactory bulb) are well studied ...
Florence eKermen +9 more
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EGENEFACE: HIGH QUALITY GENERALIZED TALKING FACE SYNTHESIZING ENABLED BY AUDIO [PDF]
Proceedings on Engineering SciencesA critical issue in virtual reality and filmmaking is the generation of photo-realistic video portraits from random spoken recordings. The use of neural radiance fields is to enhance 3D realism and image authenticity has been the subject of several ...
Nilam Thakkar +2 more
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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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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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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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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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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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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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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 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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