Junha Hyung
Kim Jaechul Graduate School of AI, KAIST  ·  Ph.D. Candidate
Email GitHub Google Scholar X / Twitter CV (PDF)
I'm a Ph.D. student at Kim Jaechul Graduate School of AI, KAIST, advised by Professor Jaegul Choo. My research interests lie in robotics — in particular world-action models and world models.
Junha Hyung

Publications

2026
Generative Failure-to-Success Bridging for Robot Learning
Junha Hyung*, Hyojin Jang*, Jaegul Choo (* equal contribution)
Under Review
project page
Geometry-Aware Mid-Training for World-Action Models
Junha Hyung*, Hyojin Jang*, Jaegul Choo (* equal contribution)
Under Review
project page
Towards Data-Efficient and Real-Time World Models
Raluca Stevenson, David Bignell, Jennifer C. White, Tabish Rashid, Emanuele Aiello, Mariya Hendriksen, Junha Hyung, Sadegh Aliakbarian, Abdelhak Lemkhenter, Marko Tot, Katja Hofmann, Sarah Parisot
Under Review
Probability-Conserving Flow Guidance
Parsa Esmati*, Junha Hyung*, Amirhossein Dadashzadeh, Jaegul Choo, Majid Mirmehdi (* equal contribution)
Under Review
paper
EgoX: Egocentric Video Generation from a Single Exocentric Video
Taewoong Kang*, Kinam Kim*, Dohyeon Kim*, Minho Park, Junha Hyung, Jaegul Choo (* equal contribution)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
papercodeproject pageHF Models
InsertAnywhere: Geometrically Grounded and Optics-Aware Video Object Insertion
Hoiyeong Jin*, Hyojin Jang*, Junha Hyung*, Jeongho Kim*, Kinam Kim, Dongjin Kim, Huijin Choi, Hyeonji Kim, Jaegul Choo (* equal contribution)
19th European Conference on Computer Vision (ECCV), 2026
papercodeproject page
Infinite-Homography as Robust Conditioning for Camera-Controlled Video Generation
Min-Jung Kim, Jeongho Kim, Hoiyeong Jin, Junha Hyung, Jaegul Choo
19th European Conference on Computer Vision (ECCV), 2026
paperproject page
ReDesign: Recovering Editable Design Structures from Images via Agentic Decomposition
Jooyeol Yun, Jintae Park, Hyesu Lim, Junha Hyung, Hyungjin Chung, Jaegul Choo
19th European Conference on Computer Vision (ECCV), 2026
paperproject page
ACG: Action Coherence Guidance for Flow-based VLA models
Minho Park*, Kinam Kim*, Junha Hyung, Hyojin Jang, Hoiyeong Jin, Jooyeol Yun, Hojoon Lee, Jaegul Choo (* equal contribution)
IEEE International Conference on Robotics & Automation (ICRA), 2026
papercodeproject pageHF ModelsYouTube
2025
Temporal In-Context Fine-Tuning for Versatile Control of Video Diffusion Models
Kinam Kim*, Junha Hyung*, Jaegul Choo (* equal contribution)
Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
paperproject page
Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs
Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo
2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
paper
Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling
Junha Hyung*, Kinam Kim*, Susung Hong, Min-Jung Kim, Jaegul Choo (* equal contribution)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
paperproject page
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 (* equal contribution)
Thirteenth International Conference on Learning Representations (ICLR), 2025
paperproject page
2024
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting
Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo†, Jin-Hwa Kim† († corresponding authors)
Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
paperproject page
SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder
Jaeseong Lee*, Junha Hyung*, Sohyun Jung, Jaegul Choo (* equal contribution)
18th European Conference on Computer Vision (ECCV), 2024
paperproject page
MagiCapture: High-Resolution Multi-Concept Portrait Customization
Junha Hyung*, Jaeyo Shin*, Jaegul Choo (* equal contribution)
Association for the Advancement of Artificial Intelligence (AAAI), 2024
paperproject page
2023
FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields
Sungwon Hwang, Junha Hyung, Daejin Kim, Min-Jung Kim, Jaegul Choo
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
paperproject page
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
PixelHuman: Animatable Neural Radiance Fields from Few Images
Gyumin Shim, Jaeseong Lee, Junha Hyung, Jaegul Choo
arXiv preprint
paper
Local 3D Editing via 3D Distillation of CLIP Knowledge
Junha Hyung, Sungwon Hwang, Daejin Kim, Hyunji Lee, Jaegul Choo
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
paperproject page

Education

KAIST AI
Ph.D. in Artificial Intelligence  ·  Sep. 2021 – Present
Advisor: Jaegul Choo
KAIST
B.S. in Computer Science, Electrical Engineering (Double Major)  ·  Mar. 2016 – Aug. 2021

Work Experience

Microsoft Research
AI Research Intern, Game Intelligence Team  ·  Jun. 2025 – Sep. 2025
NVIDIA
AI Research Intern, Digital Human Team  ·  Jun. 2024 – Dec. 2024
Naver Cloud
AI Research Intern, Neural 3D Team  ·  Feb. 2024 – Jun. 2024
Kakao Enterprise
AI Research Intern, Vision Intelligence Team  ·  Jul. 2022 – Dec. 2022
Mindslab
AI Research Intern  ·  Mar. 2021 – Aug. 2021
SK Telecom
AI Fellowship  ·  Jun. 2019 – Jun. 2020
Kakao
AI Research Intern, Recommendation Systems Team  ·  Sep. 2018 – Feb. 2019

Awards & Honors

Google Cloud Award
Google, 2023  ·  GCP Research Grant
Kakao Research Grant
Kakao, 2023
Qualcomm-KAIST Kaggle 1st Prize
Qualcomm, 2020  ·  Multimodal Emotion Recognition
Dean's List
KAIST, 2019

Teaching

KAIST, Generative Models
Teaching Assistant  ·  Fall 2023
SK, Deep Learning
Instructor  ·  Spring 2023
SK, CVPR Review
Instructor  ·  Spring 2023
MNC, Deep Learning
Instructor  ·  Fall 2023
FastCampus, 3D Deep Learning
Instructor  ·  Fall 2022

sharpeeee [at] kaist.ac.kr