3 citations · 5 across the 4 of their papers we have counts for
4 papers
UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D Images in Unsupervised Reconstruction
Hongbin Lin, Juangui Xu, Qingfeng Xu +5
In the realm of 3D reconstruction from 2D images, a persisting challenge is to achieve high-precision reconstructions devoid of 3D Ground Truth data reliance. We present UNeR3D, a…
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field with Attention Mechanism and Perceptual Features
Qingfeng Xu, Zhenguo Nie, Handing Xu +2
In stress field analysis, the finite element analysis is a crucial approach, in which the mesh-density has a significant impact on the results. High mesh density usually contribute…
SuperMeshing: A Novel Method for Boosting the Mesh Density in Numerical Computation within 2D Domain
Handing Xu, Zhenguo Nie, Qingfeng Xu +1
Due to the limit of mesh density, the improvement of the spatial precision of numerical computation always leads to a decrease in computing efficiency. Aiming at this inability of…
A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations
Haosu Zhou, Qingfeng Xu, Nan Li
In the design optimization of metal forming, it is increasingly significant to use surrogate models to analyse the finite element analysis (FEA) simulations. However, traditional s…