Publications

Geometry-Aware Mid-Training for World-Action Models

Junha Hyung*, Hyojin Jang*, Jaegul Choo (* equal contribution)

Under Review

[project page]

Generative Failure-to-Success Bridging for Robot Learning

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

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

[paper][code][project page][HF Models]

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

[paper][code][project page][HF Models][YouTube]

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

[paper][project 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

[paper][project 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

[paper][project page]

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

[paper][project 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

[paper][project 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

[paper][project page]

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

[paper][project 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

[paper][project page]