Results 61 to 70 of about 24,246 (264)

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 Sciences
This 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, R. Nespeca, R. Angeloni, L. Coppetta   +3 more
doaj   +1 more source

Camera and LiDAR Fusion for Urban Scene Reconstruction and Novel View Synthesis via Voxel-Based Neural Radiance Fields

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, Zhenbo Song, Jun Zhou, Dong Xie, Jianfeng Lu   +4 more
doaj   +1 more source

Physiologie du nerf trijumeau

, 1875
PHYSIOLOGIE DU NERF TRIJUMEAU Physiologie du nerf trijumeau (1) (-
Bernard, Claude
core   +3 more sources

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Anterior and posterior retrosplenial cortex form distinct visuospatial circuits in the mouse

Nature Communications
The retrosplenial cortex (RSC) integrates sensory and mnemonic information to support spatial orientation and navigation, yet how visuospatial processing differs across its subregions remains unclear. Here, we combined cellular imaging in navigating mice
Yu-Ting Wei, João Couto, Fabian Kloosterman, Vincent Bonin   +3 more
doaj   +1 more source

PIE-NeRF: Physics-Based Interactive Elastodynamics with NeRF

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
We show that physics-based simulations can be seamlessly integrated with NeRF to generate high-quality elastodynamics of real-world objects. Unlike existing methods, we discretize nonlinear hyperelasticity in a meshless way, obviating the necessity for intermediate auxiliary shape proxies like a tetrahedral mesh or voxel grid.
Yutao Feng, Yintong Shang, Xuan Li 0015, Tianjia Shao, Chenfanfu Jiang, Yin Yang 0002   +5 more
openaire   +2 more sources

VDNeRF: Vision‐Only Dynamic Neural Radiance Field for Urban Scenes

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Neural radiance fields (NeRFs) implicitly model continuous three‐dimensional scenes using a set of images with known camera poses, enabling the rendering of photorealistic novel views. However, existing NeRF‐based methods encounter challenges in applications such as autonomous driving and robotic perception, primarily due to the difficulty of ...
Zhengyu Zou, Jingfeng Li, Hao Li, Xiaolei Hou, Jinwen Hu, Jingkun Chen, Lechao Cheng, Dingwen Zhang   +7 more
wiley   +1 more source

MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields

IEEE Access
Hinged on the representation power of neural networks, neural radiance fields (NeRF) have recently emerged as one of the promising and widely applicable methods for 3D object and scene representation.
Jaeyoung Chung, Kanggeon Lee, Sungyong Baik, Kyoung Mu Lee   +3 more
doaj   +1 more source

Splatshop: Efficiently Editing Large Gaussian Splat Models

Computer Graphics Forum, EarlyView.
Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz, Christoph Peters, Florian Hahlbohm, Elmar Eisemann, Marcus Magnor, Michael Wimmer   +5 more
wiley   +1 more source

Comparative verification of 3D reconstructed point cloud data: comparison of AI estimation and multi-view stereo methods using Nerfstudio and Metashape

SICE Journal of Control, Measurement, and System Integration
We investigated the feasibility of using a 3D point cloud estimated by a neural radiance field (NeRF). We evaluated the quality of point clouds reconstructed with NeRF and multi-view stereo.
Yuta Tsukamoto, Atsushi Hayashi, Kenichi Tokuda, Nobuo Kochi   +3 more
doaj   +1 more source