Results 11 to 20 of about 3,165,496 (285)

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
doaj   +4 more sources

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
doaj   +3 more sources

Cross-Spectral Neural Radiance Fields

2022 International Conference on 3D Vision (3DV), 2022
We propose X-NeRF, a novel method to learn a Cross-Spectral scene representation given images captured from cameras with different light spectrum sensitivity, based on the Neural Radiance Fields formulation. X-NeRF optimizes camera poses across spectra during training and exploits Normalized Cross-Device Coordinates (NXDC) to render images of different
Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano   +5 more
core   +7 more sources

Remote Sensing Neural Radiance Fields for Multi-View Satellite Photogrammetry

Remote Sensing, 2023
Neural radiance fields (NeRFs) combining machine learning with differentiable rendering have arisen as one of the most promising approaches for novel view synthesis and depth estimates.
Songlin Xie, Lei Zhang, Gwanggil Jeon, Xiaomin Yang   +3 more
doaj   +3 more sources

Generative Neural Articulated Radiance Fields

Advances in Neural Information Processing Systems 35, 2022
Unsupervised learning of 3D-aware generative adversarial networks (GANs) using only collections of single-view 2D photographs has very recently made much progress. These 3D GANs, however, have not been demonstrated for human bodies and the generated radiance fields of existing frameworks are not directly editable, limiting their applicability in ...
Bergman, Alexander W. (author), Kellnhofer, P. (author), Yifan, Wang (author), Chan, Eric R. (author), Lindell, David B. (author), Wetzstein, Gordon (author)   +5 more
openaire   +6 more sources

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
doaj   +2 more sources

NeRFlex: Flexible Neural Radiance Fields With Diffeomorphic Deformation

IEEE Access
Due to the vast array of NeRF-based techniques, the representation power of Neural Radiance Fields (NeRF) has been quickly rising in recent years. However, it is still difficult to offer fresh perspectives for user-controlled geometry alterations with ...
Jiyoon Shin, Sangwoo Hong, Jungwoo Lee
doaj   +2 more sources

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
doaj   +2 more sources

NeRFReN: Neural Radiance Fields with Reflections

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Neural Radiance Fields (NeRF) has achieved unprecedented view synthesis quality using coordinate-based neural scene representations. However, NeRF's view dependency can only handle simple reflections like highlights but cannot deal with complex reflections such as those from glass and mirrors.
Yuan-Chen Guo, Di Kang, Linchao Bao, Yu He 0001, Song-Hai Zhang   +4 more
openaire   +4 more sources

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
doaj   +2 more sources