Trung Dao

Dao Tuan Trung is a Computer Vision Research Resident at VinAI Research, mentored by Dr. Cuong Pham and Dr. Anh Tran. Specializing in Deep Generative Models such as GANs and Diffusion Models for image processing, Trung brings valuable experience as a former AI Engineer skilled in training, deploying, and optimizing deep learning models. At VinAI Research, he has contributed to cutting-edge projects including Face Recognition, Traffic Sign/Light Recognition, and Noise Cancelling for edge devices, bridging the gap between the research and applied department.

🌟 News

[09/2024] DiMSUM has been accepted to NeurIPS 2024.
[07/2024] SwiftBrushV2 has been accepted to ECCV 2024.
[03/2024] EFHQ has been accepted to CVPR 2024.

Publications
* means equal contribution

DiMSUM : Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation

DiMSUM : Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation

Authors: Hao Phung*, Quan Dao*, Trung Dao, Hoang Phan, Dimitris Metaxas, Anh Tran

NeurIPS, 2024

A hybrid Mamba-Transformer diffusion model that synergistically leverages both spatial and frequency information for high-quality image synthesis.

Project Page arXiv GitHub
SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher

SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher

Authors: Trung Dao, Thuan Hoang Nguyen*, Thanh Van Le*, Duc Vu*, Khoi Nguyen, Cuong Pham, Anh Tran

ECCV, 2024

An improved SwiftBrush version that makes the one-step diffusion student beats its multi-step teacher.

Project Page arXiv GitHub
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset.

EFHQ: Multi-purpose ExtremePose-Face-HQ dataset.

Authors: Trung Dao*, Duc Vu*, Anh Tran

CVPR, 2024

A multi-purpose dataset for extreme pose face, and high-quality for image generation tasks and for face recognition benchmarking.

Project Page arXiv GitHub

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