Jiwan Hur (허지완)

I am a PhD student at Statistical Inference and Information Theory (SIIT), KAIST, supervised by Junmo Kim. Prior to this, I obtained my Master degree (2023) in Electrical Engineering, KAIST, and Bachelor degree (2021) in Engineering, DGIST.

My research interest lies in user-centric content creation, focusing on efficient methods for image synthesis, fine-tuning pre-trained models or guide sampling process to enhance performance, and generating image aligned with user intent.

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Contact: jiwan.hur [at] kaist.ac.kr

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News

  • 2026-02 🎉🎉 One paper has been accepted to CVPR 2026.
  • 2026-02 🎉🎉 Two papers have been accepted to ICLR 2026.
  • 2025-09 🎉🎉 One paper has been accepted to NeurIPS 2025.
  • 2025-07 🎉🎉 One paper has been accepted to ICCV 2025.
  • 2024-09 🎉🎉 One paper has been accepted to NeurIPS 2024.
  • 2024-07 🎉🎉 One paper has been accepted to ECCV 2024.

Publications

Under Review
PRISM
PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion
Jaehyun Choi, Jiwan Hur, Gyojin Han, Jaemyung Yu, Junmo Kim
CVPR, 2026

SSG
SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive Generation
Youngwoo Shin*, Jiwan Hur*, Junmo Kim
ICLR, 2026

InlierQ
Inlier-Centric Post-Training Quantization for Object Detection Models
Minsu Kim, Dongyeun Lee, Jaemyung Yu, Jiwan Hur, Giseop Kim, Junmo Kim
ICLR, 2026

Frequency-Aware Token Reduction
Frequency-Aware Token Reduction for Efficient Vision Transformer
Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Jaemyung Yu, Junmo Kim
NeurIPS, 2025

DMQ
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
Dongyeun Lee, Jiwan Hur, Hyounguk Shon, Jae Young Lee, Junmo Kim
ICCV, 2025

UnlockMGM
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance
Jiwan Hur, Dong-Jae Lee, Gyojin Han, Jaehyun Choi, Yunho Jeon†, Junmo Kim†
NeurIPS, 2024

Learn4D
Learning Neural Deformation Representation for 4D Dynamic Shape Generation
Gyojin Han, Jiwan Hur, Jaehyun Choi, Junmo Kim
ECCV, 2024

SDFT
Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation Based Fine-Tuning
Jiwan Hur, Jaehyun Choi, Gyojin Han, Dong-Jae Lee, Junmo Kim
WACV, 2024

INRSTG
Deep Cross-Modal Steganography Using Neural Representations
Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim
ICIP, 2023

MSFBS
Multi-Scale Foreground-Background Separation for Light Field Depth Estimation with Deep Convolutional Networks
Jae Young Lee, Jiwan Hur, Jaehyun Choi, Rae-Hong Park, Junmo Kim
Pattern Recognition Letters, 2023

ISTY
A Framework for Removing Foreground Occlusion in Both Dense and Sparse Light Field Images
Jiwan Hur*, Jae Young Lee*, Jaehyun Choi, Junmo Kim
WACV, 2023


Template adapted from Jaehyun Choi, Siwei Zhang, Qianli Ma, and Jon Barron.