Results 51 to 60 of about 6,185,560 (237)
Performance Analysis of Deep Learning-Based Lossy Point Cloud Geometry Compression Coding Solutions
The quality evaluation of three deep learning-based coding solutions for point cloud geometry, notably ADLPCC, PCC GEO CNNv2, and PCGCv2, is presented. The MPEG G-PCC was used as an anchor. Furthermore, LUT SR, which uses multi-resolution Look-Up tables,
Joao Prazeres +3 more
doaj +1 more source
The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela +4 more
wiley +1 more source
Hybrid Compression of LiDAR Point Clouds Using Density-Based Partitioning
LiDAR point clouds exhibit large density variations, and these variations have a direct effect on compression efficiency. Geometry-based codecs such as the MPEG Geometry-based Point Cloud Coding standard (G-PCC) perform well on sparse point clouds, while
Nuno A. B. Martins +3 more
doaj +1 more source
Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression [PDF]
International audienceEfficient point cloud compression is fundamental to enable the deployment of virtual and mixed reality applications, since the number of points to code can range in the order of millions.
Dufaux, Frédéric +2 more
core +1 more source
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei +11 more
wiley +1 more source
SAGANet: Structure-Aware Geometric Anisotropy Network for Point Cloud Compression and Upsampling
SAGANet, a novel deep-learning architecture for joint point cloud compression and upsampling that explicitly models the anisotropic nature of 3D surfaces, is presented.
Taeheyon Choi, Jinwan Park
doaj +1 more source
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong +6 more
wiley +1 more source
The JPEG Pleno Learning-Based Point Cloud Coding Standard: Serving Man and Machine
Efficient point cloud coding has become increasingly critical for multiple applications such as virtual reality, autonomous driving, and digital twin systems, where rich and interactive 3D data representations may functionally make the difference.
Andre F. R. Guarda +2 more
doaj +1 more source
Defect‐Templated Phase Engineering in Atomically Thin Metals
Graphene defects are transformed from passive imperfections into programmable templates for phase‐selective growth of atomically thin silver. Plasma‐generated boundary defects favor Ag(1), whereas sp3‐rich zero‐layer graphene promotes Ag(2). This defect‐directed intercalation links local graphene chemistry to crystalline phase, electronic structure ...
Arpit Jain +25 more
wiley +1 more source
Point cloud geometry compression with sparse cascaded residuals and sparse attention
Effective compression of point clouds is essential for implementing virtual and mixed reality applications, which require encoding millions or even tens of millions of points. This paper offers a new geometric compression for point clouds based on sparse
Shiyu Lu, Huamin Yang, Cheng Han
doaj +1 more source

