Eunju Cha

24 papers A* 2Journal 19Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Measurement-Consistent Langevin Corrector: A Remedy for Latent Diffusion Inverse Solvers.
CoRR
Lee Hyoseok, Sohwi Lim, Eunju Cha, Tae-Hyun Oh
2025 J jnl
Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion.
CoRR
Jiwon Kim, Pu-Reum Kim, Seonhwa Kim, Soobin Park, Eunju Cha, Kyong Hwan Jin
2025 J jnl
Haar Wavelet-Based Representation Learning for Unpaired Image-to-Image Translation.
IEEE Access
Soobin Park, Seohyeon Yoo, Nabin Jeong, Eunju Cha
2025 A* conf
Identity-preserving Distillation Sampling by Fixed-Point Iterator.
CVPR
Seonhwa Kim, Jiwon Kim, Soobin Park, Donghoon Ahn, Jiwon Kang, Seungryong Kim, Kyong Hwan Jin, Eunju Cha
2025 J jnl
Identity-preserving Distillation Sampling by Fixed-Point Iterator.
CoRR
Seonhwa Kim, Jiwon Kim, Soobin Park, Donghoon Ahn, Jiwon Kang, Seungryong Kim, Kyong Hwan Jin, Eunju Cha
2024 J jnl
A Noise is Worth Diffusion Guidance.
CoRR
Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Jaewon Min, Minjae Kim, Wooseok Jang, Hyoungwon Cho, Sayak Paul, Seonhwa Kim, Eunju Cha, Kyong Hwan Jin, Seungryong Kim
2024 — conf
RED-PhaseCut: A Variational Sampler Using Diffusion Model for Fourier Phase Retrieval.
EUSIPCO
Eunju Cha
2024 J jnl
Regularization by denoising diffusion process meets deep relaxation in phase.
Image Vis. Comput.
Eunju Cha
2024 — conf
Unpaired Training for AFM Image Processing of R2R-Printed CNTs.
EUSIPCO
Soobin Park, Soyoung Na, Seung Hyun Song, Eunju Cha
2022 J jnl
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell.
Eunju Cha, Chanseok Lee, Mooseok Jang, Jong Chul Ye
2022 A* conf
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation.
CVPR
Minsu Ko, Eunju Cha, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, Bohyung Han
2021 J jnl
Deep learning STEM-EDX tomography of nanocrystals.
Nat. Mach. Intell.
Yoseob Han, Jaeduck Jang, Eunju Cha, Junho Lee, Hyungjin Chung, Myoungho Jeong, Tae-Gon Kim, Byeong Gyu Chae, Hee Goo Kim, Shinae Jun, SungWoo Hwang, Eunha Lee, Jong Chul Ye
2021 J jnl
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data.
Medical Image Anal.
Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye
2021 J jnl
Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution.
IEEE Trans. Medical Imaging
Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye
2020 J jnl
Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images.
Biomed. Signal Process. Control.
Mi-Sun Kang, Eunju Cha, Eunhee Kang, Jong Chul Ye, Nam-Gu Her, Jeong-Woo Oh, Do-Hyun Nam, Myoung-Hee Kim, Sejung Yang
2020 J jnl
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval.
CoRR
Eunju Cha, Chanseok Lee, Mooseok Jang, Jong Chul Ye
2020 J jnl
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction.
CoRR
Eunju Cha, Gyutaek Oh, Jong Chul Ye
2020 J jnl
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction.
IEEE J. Sel. Top. Signal Process.
Eunju Cha, Gyutaek Oh, Jong Chul Ye
2020 J jnl
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data.
CoRR
Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye
2020 J jnl
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution.
CoRR
Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye
2019 J jnl
Boosting CNN beyond Label in Inverse Problems.
CoRR
Eunju Cha, Jaeduck Jang, Junho Lee, Eunha Lee, Jong Chul Ye
2018 J jnl
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems.
SIAM J. Imaging Sci.
Jong Chul Ye, Yoseob Han, Eunju Cha
2018 — conf
Improved Time-Resolved MRA Using k-Space Deep Learning.
MLMIR@MICCAI
Eunju Cha, Eung-Yeop Kim, Jong Chul Ye
2018 J jnl
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography.
CoRR
Eunju Cha, Eung-Yeop Kim, Jong Chul Ye