activity
20242026
most citedSupercharged One-step Text-to-Image Diffusion Models with Negative Prompts

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Cross-Space Distillation: Teaching One-Step Students with Modern Diffusion Teachers

Anh Nguyen, Ngan Nguyen, Duc Vu +11

Modern one-step diffusion models achieve impressive quality through distribution-based timestep distillation. Yet, they rely on a critical assumption: Teacher and Student must inha…

cs.CV2026

Multi-scale Coarse-to-fine Modeling for Test-time Human Motion Control

Nhat Le, Daochang Liu, Anh Nguyen +1

We present MSCoT, a multi-scale, coarse-to-fine model for test-time human motion synthesis and control. Unlike recent approaches that rely on multiple iterative denoising/token-pre…

cs.CV2026

Anti-I2V: Safeguarding your photos from malicious image-to-video generation

Duc Vu, Anh Nguyen, Chi Tran +1

Advances in diffusion-based video generation models, while significantly improving human animation, poses threats of misuse through the creation of fake videos from a specific pers…

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★ 1 cited

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…