Neural Radiance Fields (NeRF) achieves impressive 3D representation learning and novel
view synthesis results with high-quality multi-view images as input. However, motion blur in …

Crop biomass offers crucial insights into plant health and yield, making it essential for crop
science, farming systems, and agricultural research. However, current measurement …

In underwater images, most useful features are occluded by water. The extent of the
occlusion depends on imaging geometry and can vary even across a sequence of burst …

True orthophotos have become one of the most important spatial foundational geographic
information due to their accurate geometric information and realistic texture features. The …

This study investigates the impact of industrial agglomeration on land use intensification in
the Yangtze River Delta (YRD) urban agglomeration. Utilizing spatial econometric models …

神经辐射场(NERF) 是一种基于神经网络的三维重建技术, 它将场景定义为位置和观察视角的五
维辐射场函数, 并通过隐式的神经网络来表示. 该技术仅需要单个场景在不同视角下的二维图像 …

This study explores the impact of appearance discrimination in the labor market and whether
education can mitigate this issue. A statistical analysis of approximately 1.058 million job …

This study employs a Bayesian Probit model to empirically analyze peer effects and herd
behavior among consumers during the" Double 11" shopping festival, using data collected …

NERF (neural radiance fields) is a neural network-based 3D reconstruction technology. It
defines a scene as a five-dimensional radiance field function of position and viewing angle …