10 citations · 11 across the 5 of their papers we have counts for
3 papers · 1 filter
Improving the Effectiveness of Deep Generative Data
Ruyu Wang, Sabrina Schmedding, Marco F. Huber
Recent deep generative models (DGMs) such as generative adversarial networks (GANs) and diffusion probabilistic models (DPMs) have shown their impressive ability in generating high…
Smoothness Similarity Regularization for Few-Shot GAN Adaptation
Vadim Sushko, Ruyu Wang, Juergen Gall
The task of few-shot GAN adaptation aims to adapt a pre-trained GAN model to a small dataset with very few training images. While existing methods perform well when the dataset for…
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation
Ruyu Wang, Sabrina Hoppe, Eduardo Monari +1
Data-hunger and data-imbalance are two major pitfalls in many deep learning approaches. For example, on highly optimized production lines, defective samples are hardly acquired whi…