Junha Hyung

According to our database, Junha Hyung authored at least 18 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Probability-Conserving Flow Guidance.

Parsa Esmati, Junha Hyung, Amirhossein Dadashzadeh, Jaegul Choo, Majid Mirmehdi

CoRR, May, 2026

Not the Example, but the Process: How Self-Generated Examples Enhance LLM Reasoning.

Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo

CoRR, February, 2026

2025

InsertAnywhere: Bridging 4D Scene Geometry and Diffusion Models for Realistic Video Object Insertion.

Hoiyeong Jin, Hyojin Jang, Jeongho Kim, Junha Hyung, Kinam Kim, Dongjin Kim, Huijin Choi, Hyeonji Kim, Jaegul Choo

CoRR, December, 2025

Infinite-Homography as Robust Conditioning for Camera-Controlled Video Generation.

Min-Jung Kim, Jeongho Kim, Hoiyeong Jin, Junha Hyung, Jaegul Choo

CoRR, December, 2025

EgoX: Egocentric Video Generation from a Single Exocentric Video.

Taewoong Kang, Kinam Kim, Dohyeon Kim, Minho Park, Junha Hyung, Jaegul Choo

CoRR, December, 2025

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

CoRR, October, 2025

Temporal In-Context Fine-Tuning for Versatile Control of Video Diffusion Models.

Kinam Kim, Junha Hyung, Jaegul Choo

CoRR, June, 2025

SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars.

Jaeseong Lee, Taewoong Kang, Marcel C. Bühler, Min-Jung Kim, Sungwon Hwang, Junha Hyung, Hyojin Jang, Jaegul Choo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling.

Junha Hyung, Kinam Kim, Susung Hong, Min-Jung Kim, Jaegul Choo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder.

Jaeseong Lee, Junha Hyung, Sohyun Jeong, Jaegul Choo

CoRR, 2024

Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting.

Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo, Jin-Hwa Kim

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SelfSwapper: Self-supervised Face Swapping via Shape Agnostic Masked AutoEncoder.

Jaeseong Lee, Junha Hyung, Sohyun Jung, Jaegul Choo

Proceedings of the Computer Vision - ECCV 2024, 2024

MagiCapture: High-Resolution Multi-Concept Portrait Customization.

Junha Hyung, Jaeyo Shin, Jaegul Choo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model.

Sungwon Hwang, Junha Hyung, Jaegul Choo

CoRR, 2023

PixelHuman: Animatable Neural Radiance Fields from Few Images.

Gyumin Shim, Jaeseong Lee, Junha Hyung, Jaegul Choo

CoRR, 2023

FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields.

Sungwon Hwang, Junha Hyung, Daejin Kim, Min-Jung Kim, Jaegul Choo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Local 3D Editing via 3D Distillation of CLIP Knowledge.

Junha Hyung, Sungwon Hwang, Daejin Kim, Hyunji Lee, Jaegul Choo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023