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cs.CV2025
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…
cs.CV2024
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…
cs.CV2024
On Inference Stability for Diffusion Models
Viet Nguyen, Giang Vu, Tung Nguyen Thanh +2
Denoising Probabilistic Models (DPMs) represent an emerging domain of generative models that excel in generating diverse and high-quality images. However, most current training met…