1 citations · 1 across the 4 of their papers we have counts for
5 papers
Improved Training Technique for Shortcut Models
Anh Nguyen, Viet Nguyen, Duc Vu +4
Shortcut models represent a promising, non-adversarial paradigm for generative modeling, uniquely supporting one-step, few-step, and multi-step sampling from a single trained netwo…
CSD-VAR: Content-Style Decomposition in Visual Autoregressive Models
Quang-Binh Nguyen, Minh Luu, Quang Nguyen +2
Disentangling content and style from a single image, known as content-style decomposition (CSD), enables recontextualization of extracted content and stylization of extracted style…
Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts
Viet Nguyen, Anh Nguyen, Trung Dao +4
The escalating demand for real-time image synthesis has driven significant advancements in one-step diffusion models, which inherently offer expedited generation speeds compared to…
Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting
Bao Q. Tran, Viet Nguyen, Anh Tran +1
Diffusion models have demonstrated remarkable capabilities in image synthesis, but their recently proven vulnerability to Membership Inference Attacks (MIAs) poses a critical priva…
Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion Models
Phuong Dam, Jihoon Jeong, Anh Tran +1
This study discusses the critical issues of Virtual Try-On in contemporary e-commerce and the prospective metaverse, emphasizing the challenges of preserving intricate texture deta…