Kunho Kim

About

I am a Research Scientist at RebuilderAI in Seongnam, South Korea. I received my Master's degree in Computer Science from KAIST under the supervision of Prof. Minhyuk Sung. I received my B.S. in Electrical Engineering and Computer Science at KAIST in 2022.

My current research interests lie in machine learning for 3D Computer Vision and Graphics (Deformation, Generation, and Editing), and I am also broadly interested in Neural Radiance Fields, Diffusion Model and Multimodal Understanding.

For details, refer to my Curriculum Vitae (CV).

News

• [Mar 4. 2024] I start the new journey at the RebuilderAI as an AI researcher!
• [Feb 28. 2024] APAP has been accepted to CVPR 2024.
• [Feb 16. 2024] My Master's thesis has been awarded the outstanding thesis award!🎉
• [Nov 27. 2023] I have successfully defended my Master's thesis!🎓
• [Sep 22. 2023] SyncDiffusion has been accepted to NeurIPS 2023.
• [Sep 8. 2023] OptCtrlPoints has been accepted to Pacific Graphics 2023 as a full paper.
• [Feb 18. 2022] I received the outstanding leadership & service award!🎉

Publications

Most recent publications on Google Scholar.
^‡ indicates equal contribution.

StyleMVD: Tuning-Free Image-Guided Texture Stylization by Synchronized Multi-View Diffusion

Kunho Kim, Sanghyeon An, Minhyuk Sung

Under review, 2024

Project Code

As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors

Seungwoo Yoo^‡, Kunho Kim^‡, Vladimir G. Kim, Minhyuk Sung

Conference on Computer Vision and Pattern Recognition Conference (CVPR), 2024

Project Paper Code Bib

 
                  
 @inproceedings{yoo2024apap,
 title={{As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors}},
 author={Seungwoo Yoo and Kunho Kim and Vladimir G. Kim and Minhyuk Sung},
 booktitle={CVPR},
 year={2024}
 }
                

SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions

Yuseung Lee, Kunho Kim, Hyunjin Kim, Minhyuk Sung

Conference on Neural Information Processing Systems (NeurIPS), 2023

Project Paper Code Bib

 
                  
 @inproceedings{lee2023syncdiffusion,
 title={{SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions}},
 author={Yuseung Lee and Kunho Kim and Hyunjin Kim and Minhyuk Sung},
 booktitle={NeurIPS},
 year={2023}
 }
                

OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation

Kunho Kim^‡, Mikaela Angelina Uy^‡, Despoina Paschalidou, Alec Jacobson, Leonidas Guibas, Minhyuk Sung

Computer Graphics Forum (Proc. Pacific Graphics 2023)

Project Paper Code Slides Video Bib

 
                  
 @article {kim2023optctrlpoints,
 journal = {Computer Graphics Forum},
 title = {{OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation}},
 author = {Kim, Kunho and Uy, Mikaela Angelina and Paschalidou, Despoina and Jacobson, Alec and Guibas, Leonidas J. and Sung, Minhyuk},
 year = {2023},
 publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
 ISSN = {1467-8659},
 DOI = {10.1111/cgf.14963}
 }
                

Projects

• Selected
• All

Score-based Point Cloud Denoising
Reimplement the paper (Deep Learning)

Minimum
Weight management diary App (iOS)

CMTP
Predict the trajectory of the vehicle using deep learning (Deep Learning)

MAMAGO
Personalized English AI tutor (Web Chatbot)

Fash
Weather based AI style coordination recommendation App (Deep Learning, iOS)

Rhythm is life
Rhythm game (Unity, C#)

Score-based Point Cloud Denoising
Reimplement the paper (Deep Learning)

Minimum
Weight management diary App (iOS)

CMTP
Predict the trajectory of the vehicle using deep learning (Deep Learning)

MAMAGO
Personalized English AI tutor (Web Chatbot)

Fash
Weather based AI style coordination recommendation App (Deep Learning, iOS)

Creating Song Lyrics System
Using Char-RNN model (Deep Learning)

Lego Racer
Racing game (Unity, C#)

Rhythm is life
Rhythm game (Unity, C#)

Live Text Editor App
Using socket communication (Android, Java)

Vitæ

• RebuilderAI Mar 2024 - now

  AI Researcher
  Research on 3D reconstruction
• KAIST Mar 2022 - Feb 2024

  M.S. Student
  KAIST Visual AI Lab
  (Advisor: Minhyuk Sung)
• Mathpang Aug 2021 - Jan 2022

  ML Engineer
  TIPS government support task
• Floatic Aug 2021

  Outsourcing
  3D modeling
• KAIST Sep 2020 - Dec 2020

  Undergraduate Research Intern
  Urban Robotics Lab
  (Advisor: Hyun Myung)
• KAIST Feb-Mar 2021

  Outsourcing
  ICN Lab, Interactive software App
• KAIST Sep 2020 - Dec 2020

  Industry-Academia Research Intern
  Text data visualization with entity linking
• KI4AI Sep 2020 - Dec 2020

  Undergraduate Research Intern
  Study on Emotional TTS model using Tacotron
• Kohyoung Sep 2019 - Feb 2020

  Machine Intelligence Team Intern
  Develop anomaly detection simulator
• DHive Jun 2019 - Jul 2020

  Deep Learning Developer
  Startup
• KAIST Jun 2019 - Aug 2019

  Undergraduate Research Intern
  Robot Intelligence Technology Lab
  (Advisor: Jonghwan Kim)
• KAIST May-Aug 2019

  Undergraduate Research Intern
  NMAIL
  (Advisor: Byunghyung Kim)
• KAIST Mar 2017 - Feb 2022

  B.S. Student
  Electronical Engineering & Computer Science

Teaching Experiences

Teaching Assistant, Spring 2023, Introduction to Computer Graphics (CS380), KAIST
Teaching Assistant, Fall 2023, Machine Learning for 3D Data (CS479), KAIST
Counseling Assistant, Fall 2023, Computer Science, KAIST