10 citations · 11 across the 5 of their papers we have counts for
6 papers
SymRegFlow: Symmetry-Regularized Flow Matching for Video World Models
Xi Ye, Yuzhu Wang, Xiaoyang Liu +6
Flow-matching-based multi-view world models generate realistic videos, but are commonly restricted to fixed camera rigs. Extending them to continuously varying camera poses require…
Generative Adversarial Networks with Limited Data: A Survey and Benchmarking
Omar De Mitri, Ruyu Wang, Marco F. Huber
Generative Adversarial Networks (GANs) have shown impressive results in various image synthesis tasks. Vast studies have demonstrated that GANs are more powerful in feature and exp…
STAY Diffusion: Styled Layout Diffusion Model for Diverse Layout-to-Image Generation
Ruyu Wang, Xuefeng Hou, Sabrina Schmedding +1
In layout-to-image (L2I) synthesis, controlled complex scenes are generated from coarse information like bounding boxes. Such a task is exciting to many downstream applications bec…
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…