Biography

Hi, I'm a Computer Science PhD student at Johns Hopkins University, where I have the privilege of working with Prof. Anand Bhattad.

Prior to JHU, I was an AI Research Resident at Qualcomm AI Research, under the mentorship of Principal Scientist Anh Tran and Prof. Cuong Pham. During my undergraduate at VNU-HCMUS, my research passion got nurtured by Prof. Tran Minh Triet.

My past research focused on efficient generative models for visual generation: image editing, inpainting, and personalization. My current research explores physics-informed video generation models, which enable physics realism in generated videos, and 3D physics simulation, which enables dynamic physics on static 3D representations.

News

[May 26] Honored to receive the ✨ Outstanding Reviewer badge (top 5% of reviewers) at CVPR26.
[Feb 26] 🥂 InverFill and SwiftPie got accepted to CVPR26 (main, finding). TLDR: InverFill enables fast image inpainting via inversion on few-step diffusion backbones, and SwiftPie contextualizes your subject image with new prompt at lightning speed.
[Jan 26] Career Update: Joined the Department of Computer Science at Johns Hopkins University as a Ph.D. student, working with Prof. Anand Bhattad.
[Oct 25] Honored to receive the 🥇 Best Resident Award 2025 at Qualcomm AI Research, in recognition of outstanding contributions to both research and applied engineering.
[Feb 25] 🥂 SwiftEdit got accepted to CVPR 2025. TLDR: SwiftEdit achieves lightning-fast speed in text-guided image editing.
[Aug 23] Career Update: Joined Qualcomm AI Research as AI Research Resident.

Education

Johns Hopkins University
Ph.D. in Computer Science, Jan. 2026 - Present
Advisor: Prof. Anand Bhattad
Ho Chi Minh City University of Science, VNU-HCM
B.S. in Advanced Program in Computer Science, 2022
Summa Cum Laude. GPA: 3.92/4.0
Advisor: Prof. Minh-Triet Tran

Experience

Qualcomm AI Research
AI Research Resident, Aug. 2023 - Dec. 2025
Mentors: Principal Scientist Anh Tran & Prof. Cuong Pham
VinUni-Illinois Smart Health Center
Research Assistant and Teaching Assistant, 2022
Advisors: Prof. Minh Do & Prof. Wray Buntine
Singapore Management University
Visiting AI Researcher, 2023
Advisor: Prof. Guansong Pang

Publications & Selected Preprints


Preprint 2026
PowerSim: Differentiable Physics Simulation and Rendering with Power Diagrams 

Trong-Tung Nguyen, Anand Bhattad
Preprint, 2026
TLDR: Physics 3D simulation with PowerFoam representation.
Paper Project Page 
Preprint 2026
FracGen: Learning How Objects Stretch and Tear with Physics-Informed Video Generation 

Trong-Tung Nguyen, Jiahan Zhang, Anand Bhattad
Preprint, 2026
TLDR: Teaching video generation models to stretch and tear objects.
Paper Project Page 
InverFill: masked helmet region inpainted into a dog's face CVPR 2026
InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting 

Duc Vu*, Kien Nguyen*, Trong-Tung Nguyen*, Ngan Nguyen*, Phong Nguyen, Khoi Nguyen, Cuong Pham, Anh Tran
* Equal contribution
Computer Vision and Pattern Recognition 2026 (CVPR 2026), Main
TLDR: Enables fast image inpainting via inversion on few-step diffusion backbones.
Paper Project Page 
SwiftPie: one subject dog personalized into new contexts — cobblestone street, water, Eiffel Tower CVPR 2026
SwiftPie: Lightning-fast Subject-driven Image Personalization via One step Diffusion 

Huy Duong*, Trong-Tung Nguyen*, Cuong Pham, Anh Tran, Khoi Nguyen, Minh Hoai
* Equal contribution
Computer Vision and Pattern Recognition 2026 (CVPR 2026), Findings
TLDR: Contextualizes your subject image with a new prompt at lightning speed.
Paper
SwiftEdit: text-guided edits of a latte — lion, matcha, panda latte art CVPR 2025
SwiftEdit: Lightning Fast Text-guided Image Editing via One-step Diffusion 

Trong-Tung Nguyen, Quang Nguyen, Khoi Nguyen, Anh Tran, Cuong Pham
Computer Vision and Pattern Recognition 2025 (CVPR 2025), Main
TLDR: Edits your image with text at lightning speed.
Paper Project Page 
Preprint 2024
FlexEdit: Flexible and Controllable Diffusion-based Object-centric Image Editing 

Trong-Tung Nguyen, Duc-Anh Nguyen, Anh Tran, Cuong Pham
Preprint, 2024
TLDR: Make controllable object edits with prompts and spatial conditions.
Paper Project Page 
ACCV 2022
Multi-stream Fusion for Class Incremental Learning in Pill Image Classification 

Trong-Tung Nguyen, Hieu H. Pham, Phi Le Nguyen, Thanh Hung Nguyen, Minh Do
Asian Conference on Computer Vision 2022 (ACCV 2022)
Paper Code 



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