Results 151 to 160 of about 4,408 (223)

Neural Radiance Field-Based 3D Reconstruction and View Synthesis for Mussel Farm Environments. [PDF]

J R Soc N Z
Zhao J, Xue B, Vennell R, Zhang M.
europepmc   +1 more source

From 3D Surface Documentation to Visualization in Forensic Practice: A Review of Current Methods and Emerging Technologies. [PDF]

APMIS
Fukuda H, Ebert L, Kreitmeier F, Eggert S, Meixner E, Hosoya T, Schweizer W, Lux C.   +7 more
europepmc   +1 more source

A Monocular Depth Estimation Method for Autonomous Driving Vehicles Based on Gaussian Neural Radiance Fields. [PDF]

Sensors (Basel)
Nie Z, Zhao Z, Pan J, Ren Y, Yu H, Xu L.
europepmc   +1 more source

2D-to-3D Image Reconstruction in Agriculture: A Review of Methods, Challenges, and AI-Driven Opportunities. [PDF]

Sensors (Basel)
Sankaramaddi HR, Lee WS, Kim K, Hong Y.
europepmc   +1 more source

CT-NeRF: Incremental Optimizing Neural Radiance Field and Poses with Complex Trajectory

Neural radiance field (NeRF) has achieved impressive results in high-quality 3D scene reconstruction. However, NeRF heavily relies on precise camera poses.
Bai, Zechun, Chen, Jiming, Huo, Yuchi, Li, Yanxu, Ran, Yunlong, Sun, Jiahao, Ye, Qi   +6 more
core  

AI-Based 3D Modeling Strategies for Civil Infrastructure: Quantitative Assessment of NeRF and Photogrammetry. [PDF]

Sensors (Basel)
Atencio E, Duarte F, Lozano-Galant F, Porras R, Xia Y.   +4 more
europepmc   +1 more source

A survey on 3D reconstruction techniques in plant phenotyping: From classical methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and beyond. [PDF]

Plant Phenomics
Li J, Qi X, Nabaei SH, Liu M, Chen D, Sun Q, Zhang X, Yin X, Li Z.   +8 more
europepmc   +1 more source

Editorial on the Special Issue "Geometry Reconstruction from Images (2nd Edition)". [PDF]

J Imaging
Meneveaux D.
europepmc   +1 more source

Neural Radiance Field in Autonomous Driving: A Survey

Neural Radiance Field (NeRF) has garnered significant attention from both academia and industry due to its intrinsic advantages, particularly its implicit representation and novel view synthesis capabilities. With the rapid advancements in deep learning,
Han, Zeyu, He, Lei, Li, Keqiang, Li, Leheng, Liu, Yichen, Sun, Wenchao, Wang, Jianqiang, Zheng, Sifa   +7 more
core  

JointRF: End-to-End Joint Optimization for Dynamic Neural Radiance Field Representation and Compression

Neural Radiance Field (NeRF) excels in photo-realistically static scenes, inspiring numerous efforts to facilitate volumetric videos. However, rendering dynamic and long-sequence radiance fields remains challenging due to the significant data required to
Hu, Qiang, Song, Li, Wang, Yanfeng, Zhang, Xiaoyun, Zhang, Ya, Zheng, Zihan, Zhong, Houqiang   +6 more
core