Results 51 to 60 of about 2,209 (160)

Hyperspectral Neural Radiance Fields

Hyperspectral Imagery (HSI) has been used in many applications to non-destructively determine the material and/or chemical compositions of samples. There is growing interest in creating 3D hyperspectral reconstructions, which could provide both spatial and spectral information while also mitigating common HSI challenges such as non-Lambertian surfaces ...
Chen, Gerry, Narayanan, Sunil Kumar, Ottou, Thomas Gautier, Missaoui, Benjamin, Muriki, Harsh, Pradalier, Cédric, Chen, Yongsheng   +6 more
openaire   +2 more sources

Reinforcement Learning with Neural Radiance Fields

, 2022
It is a long-standing problem to find effective representations for training reinforcement learning (RL) agents. This paper demonstrates that learning state representations with supervision from Neural Radiance Fields (NeRFs) can improve the performance of RL compared to other learned representations or even low-dimensional, hand-engineered state ...
Driess, Danny, Schubert, Ingmar, Florence, Pete, Li, Yunzhu, Toussaint, Marc   +4 more
openaire   +2 more sources

Phenobot: An Autodigital Modeling System for in situ Phenotyping in Horticulture

Advanced Intelligent Systems
Accurate reconstruction of plant models for phenotyping analysis is critical for optimizing sustainable agricultural practices in precision agriculture.
Kewei Hu, Yaoqiang Pan, Tianhao Liu, Hugh Zhou, Chao Chen, Hanwen Kang   +5 more
doaj   +1 more source

Evaluating Neural Radiance Fields for 3D Plant Geometry Reconstruction in Field Conditions

Plant Phenomics
We evaluate different Neural Radiance Field (NeRF) techniques for the 3D reconstruction of plants in varied environments, from indoor settings to outdoor fields.
Muhammad Arbab Arshad, Talukder Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy   +7 more
doaj   +1 more source

Automatic Removal of Non-Architectural Elements in 3D Models of Historic Buildings with Language Embedded Radiance Fields

Heritage
Neural radiance fields have emerged as a dominant paradigm for creating complex 3D environments incorporating synthetic novel views. However, 3D object removal applications utilizing neural radiance fields have lagged behind in effectiveness ...
Alexander Rusnak, Bryan G. Pantoja-Rosero, Frédéric Kaplan, Katrin Beyer   +3 more
doaj   +1 more source

MoFaNeRF: Morphable Facial Neural Radiance Field

, 2022
We propose a parametric model that maps free-view images into a vector space of coded facial shape, expression and appearance with a neural radiance field, namely Morphable Facial NeRF. Specifically, MoFaNeRF takes the coded facial shape, expression and appearance along with space coordinate and view direction as input to an MLP, and outputs the ...
Zhuang, Yiyu, Zhu, Hao, Sun, Xusen, Cao, Xun   +3 more
openaire   +2 more sources

NeRFOrtho: Orthographic Projection Images Generation based on Neural Radiance Fields

International Journal of Applied Earth Observations and Geoinformation
The application value of orthographic projection images is substantial, especially in the field of remote sensing for True Digital Orthophoto Map (TDOM) generation. Existing methods for orthographic projection image generation primarily involve geometric
Dongdong Yue, Xinyi Liu, Yi Wan, Yongjun Zhang, Maoteng Zheng, Weiwei Fan, Jiachen Zhong   +6 more
doaj   +1 more source

Nation Scale NeRF Reconstruction [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Neural Radiance Field (NeRF) rendering methodologies provide 3D reconstructions which better represent features and characteristics common to built heritage, which are otherwise poorly represented by traditional structure from motion reconstruction and ...
A. Mai, S. McAvoy, S. McAvoy, J. Klingspon, D. Forcellini, F. Kuester   +5 more
doaj   +1 more source

DMN-SLAM: Multi-MLPs Neural Implicit Representation SLAM for Dynamic Environments

IEEE Access
Addressing the limitations of traditional V-SLAM in large-scale and dynamic environments, this paper proposes a multi-MLPs neural implicit representation SLAM in Dynamic Environments(DMN-SLAM), which leverages neural radiance fields to facilitate local ...
Xiaofeng Lian, Maomao Kang, Xiao Sun, Li Tan, He Liu   +4 more
doaj   +1 more source

DWT-3DRec: DeepJSCC-based wireless transmission for efficient 3D scene reconstruction using CityNeRF

Digital Communications and Networks
The Unmanned Aerial Vehicle (UAV)-assisted sensing–transmission–computing integrated system plays a vital role in emergency rescue scenarios involving damaged infrastructure. To tackle the challenges of data transmission and enable timely rescue decision-
Shuang Cao, Jie Li, Ruiyun Yu, Xingwei Wang, Jianing Duan   +4 more
doaj   +1 more source