TAEKYUNG KI


I am a researcher at DeepBrainAI working on generative models and computer vision.

Bio: In December 2023, I joined DeepBrainAI as a researcher on computer vision and generative models. I was a researcher at AITRICS working in the same field. I started research on deep learning in February 2021. I received M.S in mathematics in February 2021, and B.S. in mathematics in February 2019.

I am interested in the following research topics:

  • Generative models (neural radiance fields, diffusion models, etc.)
  • Human video generation (face and body)
  • Audio-visual representation learning
  • Few-shot adaptation and personalization

If you have an interest in the above research topics, feel free to drop me an e-mail.

Mail Github

Profile picture

News

  • [Dec. 2023] I moved to DeepBrainAI (alternative military service until Feb. 2025)
  • [Jul. 2023] One paper accepted to ICCV 2023
  • [Mar. 2022] Alternative military service starting at AITRICS

Publications

* : equal contribution, † : corresponding author

Project image
Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animation
Taekyung Ki, Dongchan Min, Gyeongsu Chae
ArXiv 2024
Paper | ProjectPage | 
 @article{ki2024learning,
    title={Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animation},
    author={Ki, Taekyung and Min, Dongchan and Chae, Gyeongsu},
    journal={arXiv preprint arXiv:2404.00636},
    year={2024}
    }
Project image
StyleLipSync: Style-based Personalized Lip-sync Video Generation
Taekyung Ki*, Dongchan Min*
IEEE/CVF International Conference on Computer Vision (ICCV) 2023, Paris, France
Paper | ProjectPage | Supp | ArXiv | Code | 
 @InProceedings{Ki_2023_ICCV,
        author    = {Ki, Taekyung and Min, Dongchan},
        title     = {StyleLipSync: Style-based Personalized Lip-sync Video Generation},
        booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
        month     = {October},
        year      = {2023},
        pages     = {22841-22850}
    }
Project image
Deep Scattering Network with Max-pooling
Taekyung Ki, Youngmi Hur†
IEEE 2021 Data Compression Conference (DCC), Snowbird UT, USA
Paper | Code | 
 @InProceedings{ki2021deep, 
        author = {Taekyung Ki and Youngmi Hur}, 
        title = {Deep Scattering Network with Max-pooling}, 
        booktitle = {2021 Data Compression Conference, DCC 2021}, 
        year = {2021}
    }

Awards and Honors

  • [Oct. 2021] 1st Prize Winner, NLP-based Math-Word Problem Track in 2021 AI Grand Challenge (AGC), funded by Ministry of Science and ICT.
  • [Feb. 2019] Graduation with top honors in mathematics