Results 1 to 10 of about 14,095 (277)

Eigengrasp-Conditioned Neural Radiance Fields

IEEE Access, 2023
In this study, we address the problem of learning a posture-controllable three-dimensional (3D) representation of articulated robotic hands. Neural radiance fields (NeRFs) have outperformed grid-like 3D representations on a novel view synthesis tasks ...
Hiroaki Aizawa, Itoshi Naramura
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Neural Radiance Fields for High-Fidelity Soft Tissue Reconstruction in Endoscopy [PDF]

Sensors
The advancement of neural radiance fields (NeRFs) has facilitated the high-quality 3D reconstruction of complex scenes. However, for most NeRFs, reconstructing 3D tissues from endoscopy images poses significant challenges due to the occlusion of soft ...
Jinhua Liu, Yongsheng Shi, Dongjin Huang, Jiantao Qu   +3 more
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Neural radiance fields assisted by image features for UAV scene reconstruction [PDF]

Scientific Reports
With the rapid advancement of Unmanned Aerial Vehicle applications, vision-based 3D scene reconstruction has demonstrated significant value in fields such as remote sensing and target detection.
Zhihong Chen, Xueyun Chen, Chenghong Ye, Shaojie Wu, Xiang Wu   +4 more
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Multi-channel volume density neural radiance field for hyperspectral imaging [PDF]

Scientific Reports
Hyperspectral imaging and Neural Radiance Field (NeRF) can be combined in powerful ways. With limited hyperspectral images, NeRF can generate images of objects with spectral information from arbitrary viewpoints, which can effectively mitigate defects ...
Runchuan Ma, Sailing He
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SonoNERFs: Neural Radiance Fields Applied to Biological Echolocation Systems Allow 3D Scene Reconstruction through Perceptual Prediction [PDF]

Biomimetics
In this paper, we introduce SonoNERFs, a novel approach that adapts Neural Radiance Fields (NeRFs) to model and understand the echolocation process in bats, focusing on the challenges posed by acoustic data interpretation without phase information ...
Wouter Jansen, Jan Steckel
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MBS-NeRF: reconstruction of sharp neural radiance fields from motion-blurred sparse images [PDF]

Scientific Reports
The recent advance in Neural Radiance Fields (NeRF), which utilizes Multilayer Perceptrons (MLP) for implicit scene representation, enables the synthesis of realistic views from new perspectives.
Changbo Gao, Qiucheng Sun, Jinlong Zhu, Jie Chen   +3 more
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Evaluating Neural Radiance Fields for 3D Plant Geometry Reconstruction in Field Conditions [PDF]

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
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Bio-Inspired 3D Affordance Understanding from Single Image with Neural Radiance Field for Enhanced Embodied Intelligence [PDF]

Biomimetics
Affordance understanding means identifying possible operable parts of objects, which is crucial in achieving accurate robotic manipulation. Although homogeneous objects for grasping have various shapes, they always share a similar affordance distribution.
Zirui Guo, Xieyuanli Chen, Zhiqiang Zheng, Huimin Lu, Ruibin Guo   +4 more
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DOUBLE NERF: REPRESENTING DYNAMIC SCENES AS NEURAL RADIANCE FIELDS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Neural Radiance Fields (NeRFs) are non-convolutional neural models that learn 3D scene structure and color to produce novel images of a given scene from a new view point.
V. V. Kniaz, V. V. Kniaz, V. A. Knyaz, V. A. Knyaz, A. Bordodymov, P. Moshkantsev, D. Novikov, S. Barylnik   +7 more
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INITIAL ASSESSMENT ON THE USE OF STATE-OF-THE-ART NERF NEURAL NETWORK 3D RECONSTRUCTION FOR HERITAGE DOCUMENTATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
In recent decades, photogrammetry has re-emerged as a viable solution for heritage documentation. Developments in various computer vision methods have helped photogrammetry to compete against the laser scanning technology, eventually becoming ...
A. Murtiyoso, P. Grussenmeyer
doaj   +1 more source