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Achievements

Achievement: Starstruck

Achievements

Achievement: Starstruck

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sunwoo76/README.md

Research Interest

I have mainly researched generative models with multi-modal data for vairous applications with different conditions.
Generative Models. e.g., Diffusion Models, Image-to-Image Translation, Style Transfer etc.
Multimodal Learning. e.g., Audio-guided Image Manipulation, Text-guided Image Manipulation, etc.

Meanwhile, I am mainly interested in instructive, interactive, and personalized practical applications by understanding the intention of user actions. Additionally, I am also interested in Generative models & understanding and learning relations or representations in images and between images and other modalities, visual perception(detection, detection), and their further extensions to the 3D or video applications.

Education

  • Korea University, Seoul, Korea

    • M.S. Student in Computer Science and Engineering
    • Mar. 2021 - Aug. 2023

  • Dongguk University, Seoul, Korea

    • B.S. in Computer Engineering
    • Mar. 2014 - Aug. 2020

Experience

  • Naver AI Research Intern (Naver, Seongnam, Korea)

    • June. 2022 - Nov. 2022
    • Mentor: Gayoung Lee

  • Undergraduate Intern (Korea University CVLAB, Seoul, Korea)

    • Aug. 2020 - Feb. 2021
    • Advisor: Prof. Seungryong Kim

Publications

International Journal

Controllable Style Transfer via Test-time Training of Implicit Neural Representation

Sunwoo Kim*, Youngjo Min, Younghoon Jeong and Seungryong Kim
ArXiv Preprint, 2022.
[Project Page] [arXiv]

International Conference

DiffMatch: Diffusion Model for Dense Matching

Jisu Nam, Gyuseong Lee, Sunwoo Kim, Hyunsu Kim, Hyungwon Cho, Seyeon Kim, Seungryong Kim
International Conference on Learning Representations (ICLR, 1.2% Oral presentation), 2024.
[arXiv]

User-friendly Image Editing with Minimal Text Input: Leveraging Captioning & Injection Technique

Sunwoo Kim*, Wooseok Jang, Hyunsu Kim, Junho Kim, Yunjei Cho, Seungryong Kim and Gayoung Lee
[arXiv]

LANIT: LAnguage-Driven Unsupervised Image-to-Image Translation for Unlabeled Data

Jihye Park*, Sunwoo Kim*, Soohyun Kim*, Seokju Cho, Jaejun Yoo, Youngjung Uh and Seungryong Kim
Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[Project Page] [arXiv]

Deep Translation Prior: Test-time Training for Photorealistic Style Transfer

Sunwoo Kim*, Soohyun Kim* and Seungryong Kim
36th AAAI Conference on Artificial Intelligence, (AAAI) 2022.
[Github] [arXiv]

Projects

  • Human talking face Generation Projects
    • June. 2022 - Nov. 2022

Pinned Loading

  1. Deep_Translation_Prior Deep_Translation_Prior Public

    Official repository for Deep Translation Prior: Test-time Training for Photorealistic Style Transfer (AAAI 2022)

    Python 30 6

  2. KU-CVLAB/INR-st KU-CVLAB/INR-st Public

    Official repository for Controllable Style Transfer via Test-time Training of Implicit Neural Representation

    Python 28 2

  3. KU-CVLAB/LANIT KU-CVLAB/LANIT Public

    Official repository for LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data (CVPR 2023)

    Python 138 8

  4. CrossAttentionControl-stablediffusion CrossAttentionControl-stablediffusion Public

    Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion, the code is based on the offical StableDiffusion repository.

    Jupyter Notebook 78 3