27 citations · 30 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data
Mengping Yang, Zhe Wang, Ziqiu Chi +2
Generative adversarial networks (GANs) have made remarkable achievements in synthesizing images in recent years. Typically, training GANs requires massive data, and the performance…
cs.CV2022★ 27 cited
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data
Mengping Yang, Zhe Wang, Ziqiu Chi +1
Training GANs under limited data often leads to discriminator overfitting and memorization issues, causing divergent training. Existing approaches mitigate the overfitting by emplo…
cs.CV2022★ 3 cited
WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation
Mengping Yang, Zhe Wang, Ziqiu Chi +1
Existing few-shot image generation approaches typically employ fusion-based strategies, either on the image or the feature level, to produce new images. However, previous approache…