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Article

1 Citations

2,854 Views

22 Pages

Bi-Resolution Hash Encoding in Neural Radiance Fields: A Method for Accelerated Pose Optimization and Enhanced Reconstruction Efficiency

Zixuan Guo,
Qing Xie,
Song Liu and
Xiaoyao Xie

Appl. Sci.2023, 13(24), 13333;https://doi.org/10.3390/app132413333

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18 December 2023

NeRF has garnered extensive attention from researchers due to its impressive performance in three-dimensional scene reconstruction and realistic rendering. It is perceived as a potential pivotal technology for scene reconstruction in fields such as v...

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Article

3 Citations

3,152 Views

16 Pages

NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation

Yiying Wang,
Abhirup Banerjee and
Vicente Grau

Bioengineering2024, 11(12), 1227;https://doi.org/10.3390/bioengineering11121227

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4 December 2024

Cardiovascular diseases (CVDs) are the most common health threats worldwide. 2D X-ray invasive coronary angiography (ICA) remains the most widely adopted imaging modality for CVD assessment during real-time cardiac interventions. However, it is often...

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Article

16 Citations

6,311 Views

17 Pages

Remote Sensing Neural Radiance Fields for Multi-View Satellite Photogrammetry

Songlin Xie,
Lei Zhang,
Gwanggil Jeon and
Xiaomin Yang

Remote Sens.2023, 15(15), 3808;https://doi.org/10.3390/rs15153808

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31 July 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. However, NeRFs only applies to close-range static imagery and it...

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