My Research Topics: Computer Vision and Dynamic 3D World Modeling
Computer Vision Researcher | Ph.D Student
Computer Vision Researcher | Ph.D Student
I am a Ph.D. student in Electrical Engineering at VIC Lab, KAIST, under the supervision of Prof. Munchurl Kim. Before that I received my bachelor's degree from Ho Chi Minh City University of Technology-VNU, working with Dr. Duc Dung Nguyen.
My current research focuses on computer vision, neural rendering, and dynamic 3D world reconstruction from casually captured images and videos.
Deblurring dynamic 3D Gaussian Splatting (3DGS) framework capable of reconstructing sharp and high-quality novel spatio-temporal views from blurry monocular videos in an end-to-end manner.
COLMAP-free dynamic 3D Gaussian Splatting (3DGS) framework for high-quality reconstruction and fast rendering from monocular videos.
A novel motion deblurring NeRF framework for blurry monocular video, called MoBluRF.
A projection-aware neural radiance field model, referred to as ProNeRF, which provides an optimal trade-off between the memory footprint, speed, and quality.
Online monocular depth adaptation model that aims to train an initial depth estimation model in a source domain and continuously adapt the model against a constantly changing target domain.
bvmquan@kaist.ac.kr
N24 Building
Room 1106
KAIST