3 papers
cs.CV2025
FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers
Yanbing Zhang, Zhe Wang, Qin Zhou +1
In light of recent breakthroughs in text-to-image (T2I) generation, particularly with diffusion transformers (DiT), subject-driven technologies are increasingly being employed for…
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.CV2024
Image Synthesis under Limited Data: A Survey and Taxonomy
Mengping Yang, Zhe Wang
Deep generative models, which target reproducing the given data distribution to produce novel samples, have made unprecedented advancements in recent years. Their technical breakth…