Results 101 to 110 of about 8,359,557 (286)
In this paper, we propose binary radiance fields (BiRF), a storage-efficient radiance field representation employing binary feature encoding in a format of either +1 or -1. This binarization strategy lets us represent the feature grid with highly compact
신승주, 박재식
core
Ion Concentration and Voltage Imaging With Fluorescent Nanodiamonds
We demonstrate reversible switching between the fluorescent NV0 and the dark NV+ state, in sub‐30 nm FNDs via surface oxidation and hydrogenation, respectively. In an electrochemical cell, we show that the fluorescence from hydrogenated particles enables all‐optical imaging of voltages and ion concentrations at the micrometer scale.
Patrick Voorhoeve +8 more
wiley +1 more source
DWT-3DRec: DeepJSCC-based wireless transmission for efficient 3D scene reconstruction using CityNeRF
The Unmanned Aerial Vehicle (UAV)-assisted sensing–transmission–computing integrated system plays a vital role in emergency rescue scenarios involving damaged infrastructure. To tackle the challenges of data transmission and enable timely rescue decision-
Shuang Cao +4 more
doaj +1 more source
Novel View Synthesis Under Rainy Conditions with Neural Radiance Fields and Gaussian Splatting [PDF]
Scene reconstruction and novel view synthesis from calibrated multi-view images still attracts a lot of attention in computer vision and graphics. However, the assumption that images are noise-free rarely holds in real-world scenarios where adverse ...
I. Petrovska, B. Jutzi
doaj +1 more source
Advanced Materials for Biologics Delivery to Brain Tumors
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 +4 more
wiley +1 more source
Constraining the Geometry of NeRFs for Accurate DSM Generation from Multi-View Satellite Images
Neural Radiance Fields (NeRFs) are an emerging approach to 3D reconstruction that use neural networks to reconstruct scenes. However, its applications for multi-view satellite photogrammetry, which aim to reconstruct the Earth’s surface, struggle to ...
Qifeng Wan +4 more
doaj +1 more source
Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing
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 +7 more
wiley +1 more source
Evaluating Radiance Field-Inspired Methods for 3D Indoor Reconstruction: A Comparative Analysis
An efficient and robust solution for 3D indoor reconstruction is crucial for various managerial operations in the Architecture, Engineering, and Construction (AEC) sector, such as indoor asset tracking and facility management.
Shuyuan Xu +3 more
doaj +1 more source
High-Quality Geometry and Texture Editing of Neural Radiance Field
Recent advances in Neural Radiance Field (NeRF) have demonstrated impressive rendering quality reconstructed from input images. However, the density-based radiance field representation introduces entanglement of geometry and texture, limiting the ...
Lee, Joo Ho +4 more
core +1 more source
NeVRF: Neural Video-based Radiance Fields for Long-duration Sequences
Adopting Neural Radiance Fields (NeRF) to long-duration dynamic sequences has been challenging. Existing methods struggle to balance between quality and storage size and encounter difficulties with complex scene changes such as topological changes and ...
Tuytelaars, Tinne, Wu, Minye
core

