I am a 3rd-year Ph.D candidate advised by Professor Jaegul Choo.

My key research areas of interest include, but are not limited to:

  • 3D generative world modeling via diffusion models
  • Image-based neural 3D reconstruction and editing models

Contact

  • shwang.14 [at] kaist.ac.kr

  • 8 Seongnam-daero 331 beon-gil, KINS Tower, Suite 904, Bundang-gu, Seongnam-si, Gyeonggi 13558, South Korea

Education

  • M.S in Electrical Engineering (Robotics Program), 2022

    KAIST, Korea

    Thesis: "SO(2) Equivariant and Invariant Representation Learning using Graph Convolutional Network"

    Advisor: Prof. Hyun Myung

  • B.S in Mechanical Engineering, 2020

    KAIST, Korea

Professional Experiences

  • NAVER LABS logo
    NAVER LABS | Spatial AI Team
    July 2024 - Oct 2024

    Research Intern

Publications

  • SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel-based Head Avatars

    Jaeseong Lee*,Taewoong Kang*, Marcel C. Bühler, Min-Jung Kim, Sungwon Hwang, Junha Hyung, Hyojin Jang, Jaegul Choo

    The International Conference on Learning Representations (ICLR), 2025

    Paper | Project Page | Code

  • Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting

    Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo, Jin-Hwa Kim

    Advances in Neural Information Processing Systems (NeurIPS), 2024

    Paper | Project Page

  • VEGS : View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors

    Sungwon Hwang*, Min-Jung Kim*, Taewoong Kang, Jayeon Kang, Jaegul Choo

    Proceedings of the European Conference on Computer Vision (ECCV), 2024

    Paper | Project Page | Code

  • FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields

    Sungwon Hwang, Junha Hyung, Daejin Kim, Min-Jung Kim, Jaegul Choo

    Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023

    Paper | Project Page

  • Local 3D Editing via 3D Distillation of CLIP Knowledge

    Junha Hyung, Sungwon Hwang, Daejin Kim, Hyunji Lee, Jaegul Choo

    Proceedings of the IEEE/CVF Converence on Computer Vision and Pattern Recognition(CVPR), 2023

    Paper | Code

  • Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional Network

    Sungwon Hwang, Hyungtae Lim, Hyun Myung

    The British Machine Vision Conference (BMVC), 2021

    Paper | Code

  • ERASOR: Egocentric Ratio of Psuedo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Building

    Hyungtae Lim, Sungwon Hwang, Hyun Myung

    IEEE Robotics and Automation Letters (RA-Letters)

    Paper | Code

  • Normal Distributions Transform is Enough: Real-time 3D Scan Matching for Pose Correction of Mobile Robot

    under Large Odometry Uncertainties

    Hyungtae Lim*, Sungwon Hwang*, Sungjae Shin, Hyun Myung (*: equal contribution)

    International Conference on Control, Automation and Systems (ICCAS), 2020

    Paper | Video

  • Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image

    Diffusion Model

    Sungwon Hwang, Junha Hyung, Jaegul Choo

    arXiv preprint

    Paper | Project Page | Code