131 citations · 302 across the 10 of their papers we have counts for
4 papers · 1 filter
A fast and flexible algorithm for microstructure reconstruction combining simulated annealing and deep learning
Zhenchuan Ma, Xiaohai He, Pengcheng Yan +2
The microstructure analyses of porous media have considerable research value for the study of macroscopic properties. As the premise of conducting these analyses, the accurate reco…
Multiscale reconstruction of porous media based on multiple dictionaries learning
Pengcheng Yan, Qizhi Teng, Xiaohai He +2
Digital modeling of the microstructure is important for studying the physical and transport properties of porous media. Multiscale modeling for porous media can accurately characte…
Real-World Single Image Super-Resolution: A Brief Review
Honggang Chen, Xiaohai He, Linbo Qing +3
Single image super-resolution (SISR), which aims to reconstruct a high-resolution (HR) image from a low-resolution (LR) observation, has been an active research topic in the area o…
Accurate and Fast reconstruction of Porous Media from Extremely Limited Information Using Conditional Generative Adversarial Network
Junxi Feng, Xiaohai He, Qizhi Teng +3
Porous media are ubiquitous in both nature and engineering applications, thus their modelling and understanding is of vital importance. In contrast to direct acquisition of three-d…