Results 101 to 110 of about 3,165,496 (285)

EpiC-NeRF: Epistemic Uncertainty-Guided Neural Radiance Fields for Sparse-View CT Reconstruction

Mathematics
Sparse-view computed tomography (CT) reconstruction aims to recover high-quality CT volumes from a limited number of X-ray projection images, thereby reducing radiation exposure during image acquisition.
Donghyuk Choo, Haill An, Younhyun Jung
doaj   +1 more source

Advanced Materials for Biologics Delivery to Brain Tumors

Advanced Materials, EarlyView.
Material innovation is central to unlocking the therapeutic potential of biologics against many central nervous system diseases, including brain cancer. By engineering carriers with controlled transport, targeting, and release properties, advanced materials can overcome the blood–brain barrier and tumor microenvironment, improving the delivery of ...
Yuran Feng, Yuxue Cao, Maria Kavallaris, Taskeen Janjua, Amirali Popat   +4 more
wiley   +1 more source

Multispectral-NeRF: A Multispectral Modeling Approach Based on Neural Radiance Fields

Applied Sciences
3D reconstruction technology generates three-dimensional representations of real-world objects, scenes, or environments using sensor data such as 2D images, with extensive applications in robotics, autonomous vehicles, and virtual reality systems ...
Hong Zhang, Fei Guo, Zihan Xie, Dizhao Yao   +3 more
doaj   +1 more source

Digging into Depth Priors for Outdoor Neural Radiance Fields

, 2023
Neural Radiance Fields (NeRF) have demonstrated impressive performance in vision and graphics tasks, such as novel view synthesis and immersive reality.
Dai, Yuchao, Wu, Dayan, Zhang, Liangjun, Wu, Chenming, Shen, Zhelun, Wang, Chen, Liu, Lina, Sun, Jiadai   +7 more
core  

Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing

Advanced Materials, EarlyView.
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris, Johannes Hellwig, Hugh Greatorex, Clemens Wittberg, Panagiotis Koutsogiannis, César Magén, Elisabetta Chicca, Regina Dittmann   +7 more
wiley   +1 more source

Zero-Shot 3D Scene Representation With Invertible Generative Neural Radiance Fields

IEEE Access
Generative Neural Radiance Fields (NeRFs) have recently enabled efficient synthesis of 3D scenes by training on unposed real image sets. However, existing methods for generating multi-view images of specific input images have limitations, such as ...
Kanghyeok Ko, Sungyup Kim, Minhyeok Lee
doaj   +1 more source

Generative Neural Articulated Radiance Fields

, 2023
Unsupervised learning of 3D-aware generative adversarial networks (GANs) using only collections of single-view 2D photographs has very recently made much progress.
Bergman, Alexander W., Wetzstein, Gordon, Kellnhofer, Petr, Lindell, David B., Yifan, Wang, Chan, Eric R.   +5 more
core  

Toward Pore‐Engineered 3D‐Printed Materials for Sorption Water Harvesting, Interfacial Evaporation, and Radiative Cooling

Advanced Materials, EarlyView.
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski, Higgins M. Wilson, Abdallah Y. M. Ali, Jiaxing Xu, Ruzhu Wang, Primož Poredoš   +5 more
wiley   +1 more source

A review of dynamic scene reconstruction based on neural representation

Dianxin kexue
Dynamic scene reconstruction holds significant research value in the fields of computer vision and virtual reality. Recent advancements in neural representation technologies have facilitated rapid progress in this task.
LU Ping, SUN Junjie, LI Wan, LIN Jiaxin, LIU Hong, LIU Hong, FENG Daquan   +6 more
doaj  

Spatiotemporal neural radiance fields for AI driven motion quality analysis

Discover Internet of Things
Accurate evaluation of mobility quality is necessary for rehabilitation. Still, the techniques already at use rely on either low-fidelity skeleton-based models or expensive motion capture (MoCap) technology.
M. Rajesh, R. Sitharthan, R. Ganesh Babu, Usha Moorthy, Sathishkumar Veerappampalayam Easwaramoorthy, Senior Member of IEEE   +5 more
doaj   +1 more source