Lee Hyoseok

I am a joint MS-Ph.D. student at the Advanced Machine Intelligence Lab in Artificial Intelligence at POSTECH, advised by Tae-Hyun Oh.

I work on research problems in computer graphics, vision, and machine learning. My research interests include 3D Reconstruction, Computational Photography, and Generative Model, but not limited to.

CV  /  Google Scholar  /  LinkedIn  /  GitHub  /  Email

Publications

FPGS: Feed-Forward Semantic-aware Photorealistic Style Transfer of Large-Scale Gaussian Splatting

Excellence Prize, Electronics Times ICT Paper Awards, 2024

FPGS performs feed-forward semantic-aware photorealistic style transfer of Gaussian Splatting.

Joint Generative Model

Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Priors

Zero-shot depth completion: Align sparse depth measurements with affine-invariant depth diffusion prior at test time.

Bootstrapping Multi-View Features via Bridging the Gap between Linearity of Rendering and Non-linearity of 2D Feature Space

Outstanding Poster Presentation Award

Constructing versatile 3D feature field by addressing feature rendering equation and bootstrapping multi-view features.

Design and source code from Jon Barron and Leonid Keselman.