Disentangling content and style from single images via visual autoregressive modeling for improved recontextualization and stylization.
Research Resident - Computer Vision Team
Ph.D. Student
I am a Ph.D. student in Computer Science at Rutgers University, advised by Board of Governors Professor Dimitris N. Metaxas. Before that, I was a Research Resident at VinAI (later acquired by Qualcomm AI Research) and received my B.E. in Computer Science from Ho Chi Minh City University of Technology (HCMUT), Vietnam. My research focuses on human-centric controllable generation, efficient generation, and alignment from multi-modal inputs. Email: quang.ng (at) cs.rutgers (dot) edu
๐ก For collaborations or discussions, feel free to reach out.
I will join Adobe Research as a Research Scientist Intern.
I joined Rutgers University as a Ph.D. student in Computer Science.
CSD-VAR has been accepted to ICCV 2025.
SwiftEdit has been accepted to CVPR 2025.
Dataset Diffusion has been accepted to NeurIPS 2023. We have also released the code.
See Google Scholar for the full list.
Disentangling content and style from single images via visual autoregressive modeling for improved recontextualization and stylization.
Instantly text-guided image editing within a fraction of second by one-step diffusion model
Synthesizing semantic segmentation datasets by utilizing cross-attention and self-attention maps of Stable Diffusion
Integrating the SIRD compartmental model into a Variational Autoencoder (VAE) framework, this approach enhances pandemic forecasting by combining accurate predictions with improved explainability
Research Resident - Computer Vision Team
Research Resident - Computer Vision Team
Ph.D. student in Computer Science.
B.E. in Computer Science.