Publications

(*) denotes for equal contribution

2025

  1. rduot.png
    A High-Quality Robust Diffusion Framework for Corrupted Dataset
    Quan Dao*, Binh Ta*, Tung Pham, and 1 more author
    In European Conference on Computer Vision, 2025
  2. SCflow.png
    Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation
    Quan Dao*, Hao Phung*, Trung Dao, and 2 more authors
    In Association for the Advancement of Artificial Intelligence, 2025

2024

  1. dice.png
    DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
    Xiaoxiao He, Ligong Han, Quan Dao, and 8 more authors
    arXiv preprint arXiv:2410.08207, 2024
  2. dimsum.png
    DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation
    Hao Phung*, Quan Dao*, Trung Dao, and 3 more authors
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024

2023

  1. single_wavelet.png
    Wavelet Diffusion Models Are Fast and Scalable Image Generators
    Hao Phung*, Quan Dao*, and Anh Tran
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2023
  2. anti.png
    Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
    Thanh Van Le*, Hao Phung*, Thuan Hoang Nguyen*, and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Oct 2023
  3. flow.png
    Flow Matching in Latent Space
    Quan Dao*, Hao Phung*, Binh Nguyen, and 1 more author
    arXiv preprint arXiv:2307.08698, Oct 2023