Results 111 to 120 of about 24,246 (264)
Neural Radiance Fields with Physically Based Reflectance for Satellite Images [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesCharacterising planetary surface optical properties from satellite imagery is key to understanding surface composition and texture. Neural Radiance Fields (NeRF) have recently demonstrated strong potential for 3D scene reconstruction and novel view ...
L. Zhang +4 more
doaj +1 more source
NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentation [PDF]
Computer Vision and Pattern RecognitionNeural Radiance Field (NeRF) has been widely recognized for its excellence in novel view synthesis and 3D scene reconstruction. However, their effectiveness is in-herently tied to the assumption of static scenes, rendering them susceptible to undesirable
Jiahao Chen +4 more
semanticscholar +1 more source
OUGS: Active View Selection via Object‐aware Uncertainty Estimation in 3DGS
Computer Graphics Forum, EarlyView.Abstract Recent advances in 3D Gaussian Splatting (3DGS) have achieved state‐of‐the‐art results for novel view synthesis. However, efficiently capturing high‐fidelity reconstructions of specific objects within complex scenes remains a significant challenge.
Haiyi Li +3 more
wiley +1 more source
CoRRNeural Radiance Fields (NeRFs) have emerged as powerful tools for capturing detailed 3D scenes through continuous volumetric representations. Recent NeRFs utilize feature grids to improve rendering quality and speed; however, these representations introduce significant storage overhead.
Tuan Pham, Stephan Mandt
openaire +3 more sources
TreeON: Reconstructing 3D Tree Point Clouds from Orthophotos and Heightmaps
Computer Graphics Forum, EarlyView.Abstract We present TreeON, a novel neural‐based framework for reconstructing detailed 3D tree point clouds from sparse top‐down geodata, using only a single orthophoto and its corresponding Digital Surface Model (DSM). Our method introduces a new training supervision strategy that combines both geometric supervision and a differentiable shadow and ...
Angeliki Grammatikaki +4 more
wiley +1 more source
NeRF-based 3D reconstruction with multi-scale feature fusion
Dianzi Jishu Yingyong3D reconstruction plays a critical role in various fields, including computer vision and artificial intelligence, medical imaging, architecture, and urban planning. To address the inefficiency of traditional manual modeling methods, this paper proposes a
Chen Defeng +3 more
doaj +1 more source
LeafFit: Plant Assets Creation from 3D Gaussian Splatting
Computer Graphics Forum, EarlyView.Abstract We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage, its high memory footprint and lack of mesh topology make it incompatible with traditional game production workflows. We address this by leveraging the repetition of
Chang Luo, Nobuyuki Umetani
wiley +1 more source
KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter
accepted to ...
Yifan Zhan +6 more
openaire +4 more sources
NoPe‐NeRF++: Local‐to‐Global Optimization of NeRF with No Pose Prior
Computer Graphics ForumAbstractIn this paper, we introduce NoPe‐NeRF++, a novel local‐to‐global optimization algorithm for training Neural Radiance Fields (NeRF) without requiring pose priors. Existing methods, particularly NoPe‐NeRF, which focus solely on the local relationships within images, often struggle to recover accurate camera poses in complex scenarios. To overcome
Dongbo Shi +7 more
openaire +4 more sources
Journal de la Société Marocaine d’Ophtalmologie, 2020 La paralysie du nerf oculomoteur commun est rare chez le nourrisson. Plusieurs étiologies peuvent en être responsables. La vaccination contre la rougeole, les oreillons et la rubéole (ROR) pourrai être à l’origine d’effets indésirables qui peuvent être ...
Rim El Hachimi +3 more
doaj +1 more source