2 citations · 3 across the 4 of their papers we have counts for
4 papers
Partial Distribution Matching via Partial Wasserstein Adversarial Networks
Zi-Ming Wang, Nan Xue, Ling Lei +2
This paper studies the problem of distribution matching (DM), which is a fundamental machine learning problem seeking to robustly align two probability distributions. Our approach…
Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration
Zi-Ming Wang, Nan Xue, Ling Lei +1
Given two point sets, the problem of registration is to recover a transformation that matches one set to the other. This task is challenging due to the presence of the large number…
Conditional Generative ConvNets for Exemplar-based Texture Synthesis
Zi-Ming Wang, Meng-Han Li, Gui-Song Xia
The goal of exemplar-based texture synthesis is to generate texture images that are visually similar to a given exemplar. Recently, promising results have been reported by methods…
Texture Mixing by Interpolating Deep Statistics via Gaussian Models
Zi-Ming Wang, Gui-Song Xia, Yi-Peng Zhang
Recently, enthusiastic studies have devoted to texture synthesis using deep neural networks, because these networks excel at handling complex patterns in images. In these models, s…