Hello! My name is Aries Chen, and I am a committed student at the China University of Petroleum , where I major in Geophysics. Recently, I have developed a deep interest in Artificial Intelligence. I am actively involved in AI research, exploring how these cutting-edge technologies can enhance geophysical studies by providing new insights and improving efficiencies.
Beyond academia, I am deeply passionate about literature and endurance sports, especially marathons. Reading opens up various worlds and ideas for me, expanding my perspective and stimulating my creativity.
1. 引言：迈向高效的三维高斯溅射三维高斯溅射（3D Gaussian Splatting, 3DGS）作为一种新兴的三维场景表示与新视角合成技术，近年来在计算机视觉和图形学领域引起
背景及痛点分析随着播客内容的快速增长，Spotify 虽然推出了文稿功能，但用户在使用过程中仍面临诸多挑战。网页端的文稿展示方式使得用户难以进
The advent of artificial intelligence (AI) in weather forecasting marks a pivotal shift in meteorological sciences, combining traditional numerical weather prediction (NWP) methods with advanced machine learning techniques. Pangu-Weather, a large AI model, enhances medium-range global weather forecasting through its innovative 3D neural network architecture, highlighting significant improvements over existing methods in accuracy and computational efficiency.
1. IntroductionHistorically, weather forecasting has relied on NWP, which, despite its precision, suffers from high computational demands.
Geological exploration has long been a domain of meticulous study and analysis, where the subsurface secrets of the Earth are decoded from images that are as complex as they are enigmatic. One of the most powerful tools in this quest has been Ground Penetrating Radar (GPR), a technology that peers into the depths of the geological layers without a single shovel strike. But the interpretation of GPR data has remained a highly specialized skill — until now.
1. 神经辐射场（NeRF）简介 1.1. 定义NeRF：核心概念及其在三维重建中的意义神经辐射场（Neural Radiance Fields, NeRF）是一种用于高分辨率三维重建和
