Xiangyuan Zhu

2023

Gradient-Based Graph Attention for Scene Text Image Super-resolution

Xiangyuan Zhu, Kehua Guo, Hui Fang, Rui Ding, Zheng Wu, Gerald Schaefer

AAAI 2023technical

Scene text image super-resolution (STISR) in the wild has been shown to be beneficial to support improved vision-based text recognition from low-resolution imagery. An intuitive way to enhance STISR performance is to explore the well-structured and repetitive layout characteristics of text and explo…

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2022

ComGAN: Unsupervised Disentanglement and Segmentation via Image Composition

Rui Ding, Kehua Guo, Xiangyuan Zhu, Zheng Wu, Liwei Wang

NeurIPS 2022accept

We propose ComGAN, a simple unsupervised generative model, which simultaneously generates realistic images and high semantic masks under an adversarial loss and a binary regularization. In this paper, we first investigate two kinds of trivial solutions in the compositional generation process, and de…

Cited by 12 Source ↗PDF ↗Scholar ↗

Gradient-Based Graph Attention for Scene Text Image Super-resolution

ComGAN: Unsupervised Disentanglement and ﻿Segmentation via Image Composition

ComGAN: Unsupervised Disentanglement and Segmentation via Image Composition