Results 1 to 10 of about 16,932 (278)

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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SpiNeRF: direct-trained spiking neural networks for efficient neural radiance field rendering [PDF]

Frontiers in Neuroscience
Spiking neural networks (SNNs) have recently demonstrated significant progress across various computational tasks, due to their potential for energy efficiency.
Xingting Yao, Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Tielong Liu, Zitao Mo, Zeyu Zhu, Zeyu Zhu, Zhengyang Zhuge, Jian Cheng, Jian Cheng   +11 more
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Evaluating the Effectiveness of Neural Radiance Field for Noninvasive Volumetric Assessment [PDF]

Plastic and Reconstructive Surgery, Global Open
Summary:. Assessing swelling is crucial for the surgical treatment of lower limb lymphedema and is often conducted using 2-dimensional (2D) imaging, which is available in most outpatient settings. Advanced methods, such as taping and computed tomography (
Soma Nakaso, MD, Hyakuzoh Ueda, MD, Shimpei Ono, MD, PhD, Rei Ogawa, MD, PhD   +3 more
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Neural Radiance Field-Inspired Depth Map Refinement for Accurate Multi-View Stereo [PDF]

Journal of Imaging
In this paper, we propose a method to refine the depth maps obtained by Multi-View Stereo (MVS) through iterative optimization of the Neural Radiance Field (NeRF).
Shintaro Ito, Kanta Miura, Koichi Ito, Takafumi Aoki   +3 more
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Neural Radiance Field Dynamic Scene SLAM Based on Ray Segmentation and Bundle Adjustment [PDF]

Sensors
The current neural implicit SLAM methods have demonstrated excellent performance in reconstructing ideal static 3D scenes. However, it remains a significant challenge for these methods to handle real scenes with drastic changes in lighting conditions and
Yuquan Zhang, Guosheng Feng
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Unmanned Aerial Vehicle-Neural Radiance Field (UAV-NeRF): Learning Multiview Drone Three-Dimensional Reconstruction with Neural Radiance Field

Remote Sensing
In traditional 3D reconstruction using UAV images, only radiance information, which is treated as a geometric constraint, is used in feature matching, allowing for the restoration of the scene’s structure. After introducing radiance supervision, NeRF can
Li Li, Yongsheng Zhang, Zhipeng Jiang, Ziquan Wang, Lei Zhang, Han Gao   +5 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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A benchmark dataset for objective quality assessment of view synthesis for neural radiance field (NeRF)Figshare [PDF]

Data in Brief
Neural Radiance Fields (NeRF) are revolutionizing diverse fields such as autonomous driving, education, and virtual reality (VR). As their applications expand, the ability to accurately evaluate the quality of NeRF-generated content becomes essential ...
Chibuike Onuoha, Shihao Luo, Jean Flaherty, Truong Thu Huong, Pham Ngoc Nam, Truong Cong Thang   +5 more
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Intraoperative patient‐specific volumetric reconstruction and 3D visualization for laparoscopic liver surgery [PDF]

Healthcare Technology Letters
Despite the benefits of minimally invasive surgery, interventions such as laparoscopic liver surgery present unique challenges, like the significant anatomical differences between preoperative images and intraoperative scenes due to pneumoperitoneum ...
Luca Boretto, Egidijus Pelanis, Alois Regensburger, Kaloian Petkov, Rafael Palomar, Åsmund Avdem Fretland, Bjørn Edwin, Ole Jakob Elle   +7 more
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Fast 3D Reconstruction of UAV Images Based on Neural Radiance Field

Applied Sciences, 2023
Traditional methods for 3D reconstruction of unmanned aerial vehicle (UAV) images often rely on classical multi-view 3D reconstruction techniques. This classical approach involves a sequential process encompassing feature extraction, matching, depth ...
Cancheng Jiang, Hua Shao
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