Yihan Zhuang

most citedX-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2025

$Φ$ -GAN: Physics-Inspired GAN for Generating SAR Images Under Limited Data

Xidan Zhang, Yihan Zhuang, Qian Guo +5

Approaches for improving generative adversarial networks (GANs) training under a few samples have been explored for natural images. However, these methods have limited effectivenes…

cs.CV2024★ 1 cited

X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images

Zhongling Huang, Yihan Zhuang, Zipei Zhong +3

SAR image simulation has attracted much attention due to its great potential to supplement the scarce training data for deep learning algorithms. Consequently, evaluating the quali…

Φ-GAN: Physics-Inspired GAN for Generating SAR Images Under Limited Data

X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images

$Φ$ -GAN: Physics-Inspired GAN for Generating SAR Images Under Limited Data