Dao, Quan

7 publications

NeurIPS 2025 AutoEdit: Automatic Hyperparameter Tuning for Image Editing Chau Pham, Quan Dao, Mahesh Bhosale, Yunjie Tian, Dimitris N. Metaxas, David Doermann

ICLR 2025 Improved Training Technique for Latent Consistency Models Quan Dao, Khanh Doan, Di Liu, Trung Le, Dimitris N. Metaxas

AAAI 2025 Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Image Generation Quan Dao, Hao Phung, Trung Tuan Dao, Dimitris N. Metaxas, Anh Tuan Tran

ECCV 2024 A High-Quality Robust Diffusion Framework for Corrupted Dataset Quan Dao, Binh Ta, Tung Pham, Anh Tran

NeurIPS 2024 DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation Hao Phung, Quan Dao, Trung Dao, Hoang Phan, Dimitris N. Metaxas, Anh Tran

ICCV 2023 Anti-DreamBooth: Protecting Users from Personalized Text-to-Image Synthesis Thanh Van Le, Hao Phung, Thuan Hoang Nguyen, Quan Dao, Ngoc N. Tran, Anh Tran

CVPR 2023 Wavelet Diffusion Models Are Fast and Scalable Image Generators Hao Phung, Quan Dao, Anh Tran