官方服务：
资源简介：
Results shown in figure 8 and 11 of the manuscript in .stl file format.
应用场景：
创建时间：
2020-01-30
相关数据集
MultiShade
MultiShade是由南洋理工大学等机构构建的合成数据集，包含丰富多样的物体形状、材质和光照条件，用于提升单目法线估计模型在复杂场景下的鲁棒性。该数据集通过模拟不同光照角度下的物体表面反射特性，生成具有几何敏感性的 shading sequence 作为中间表示，其数据规模未明确说明但覆盖了比前人工作更广泛的材质-光照组合。数据创建过程采用计算机图形学技术合成逼真的物体表面反射特性，并通过物理渲
arXiv2026-02-10 更新400
Establishing topological benchmarks for three-dimensional x-ray diffraction microscopy
A quantitative characterization of 3D topology is paramount for understanding microstructure and its time-evolution. This Perspective establishes a framework to evaluate the accuracy of emergent 3D x-
DataCite Commons2025-06-24 更新50
The gravity estimated results using interprovincial embodied CO 2 flows within Western China.
The gravity estimated results using interprovincial embodied CO2 flows within Western China.
NIAID Data Ecosystem30
Gravity currents in confined channels with environmental shear
This study examines properties of gravity currents in confined channels with sheared environmental flow. Under the assumptions of steady and inviscid flow, two-dimensional...
University Corporation for Atmospheric Research70
3DHarnessBench
3DHarnessBench 是一个用于评估前沿视觉语言模型（VLM）从多种目标证据形式恢复 3D 几何形状（作为可执行的 Blender Python 代码）的智能体能力的基准测试。该基准测试不限制所有系统使用单一固定输入，而是比较四种逐渐丰富的设置：单视图（Single-view）、多视图（Multi-view）、主动视觉（Active Visual，允许任意视点访问）和完整 3D 交互（Fu
Hugging Face2026-09-07 更新50
