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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Publications

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

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

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

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

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

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


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