Multi-channel volume density neural radiance field for hyperspectral imaging [PDF]
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
doaj +2 more sources
SpiNeRF: direct-trained spiking neural networks for efficient neural radiance field rendering [PDF]
Spiking neural networks (SNNs) have recently demonstrated significant progress across various computational tasks, due to their potential for energy efficiency.
Xingting Yao +11 more
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Evaluating the Effectiveness of Neural Radiance Field for Noninvasive Volumetric Assessment [PDF]
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 +3 more
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Neural Radiance Field-Inspired Depth Map Refinement for Accurate Multi-View Stereo [PDF]
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 +3 more
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Neural Radiance Field Dynamic Scene SLAM Based on Ray Segmentation and Bundle Adjustment [PDF]
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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Bio-Inspired 3D Affordance Understanding from Single Image with Neural Radiance Field for Enhanced Embodied Intelligence [PDF]
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 +4 more
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A benchmark dataset for objective quality assessment of view synthesis for neural radiance field (NeRF)Figshare [PDF]
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 +5 more
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Eigengrasp-Conditioned Neural Radiance Fields
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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Surgical neural radiance fields from one image. [PDF]
Purpose: Neural Radiance Fields (NeRF) offer exceptional capabilities for 3D reconstruction and view synthesis, yet their reliance on extensive multi-view data limits their application in surgical intraoperative settings where only limited data is available.
Neri A +4 more
europepmc +3 more sources
Intraoperative patient‐specific volumetric reconstruction and 3D visualization for laparoscopic liver surgery [PDF]
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 +7 more
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