https://www.hj-chung.com https://www.hj-chung.com/talk/paper-accepted-to-eccv-2024/ https://www.hj-chung.com/talk/paper-accepted-to-icml-2024/ https://www.hj-chung.com/talk/ddip-receives-30th-samsung-humantech-paper-award-1st-in-signal-processing/ https://www.hj-chung.com/talk/paper-accepted-to-iclr-2024/ https://www.hj-chung.com/talk/i-joined-nvidia-research-as-an-intern/ https://www.hj-chung.com/event/ https://www.hj-chung.com/publication/deep-diffusion-image-prior-for-efficient-ood-adaptation-in-3d-inverse-problems/ https://www.hj-chung.com/publication/prompt-tuning-latent-diffusion-models-for-inverse-problems/ https://www.hj-chung.com/publication/decomposed-diffusion-sampler-for-accelerating-large-scale-inverse-problems/ https://www.hj-chung.com/publication/direct-diffusion-bridge-using-data-consistency-for-inverse-problems/ https://www.hj-chung.com/publication/improving-3d-imaging-with-pre-trained-2d-perpendicular-diffusion-models/ https://www.hj-chung.com/publication/parallel-diffusion-models-of-operator-and-image-for-blind-inverse-problems/ https://www.hj-chung.com/publication/solving-3d-inverse-problems-using-pretrained-2d-diffusion-models/ https://www.hj-chung.com/publication/diffusion-posterior-sampling-for-general-noisy-inverse-problems/ https://www.hj-chung.com/publication/improving-diffusion-models-for-inverse-problems-using-manifold-constraints/ https://www.hj-chung.com/publication/come-closer-diffuse-faster-accelerating-conditional-diffusion-models-for-inverse-problems-through-stochastic-contraction/ https://www.hj-chung.com/publication/score-based-diffusion-models-for-accelerated-mri/ https://www.hj-chung.com/publication/deep-learning-stem-edx-tomography-of-nanocrystals/ https://www.hj-chung.com/publication/low-dose-sparse-view-haadf-stem-edx-tomography-of-nanocrystals-using-unsupervised-deep-learning/ https://www.hj-chung.com/publication/a-deep-learning-model-for-diagnosing-gastric-mucosal-lesions-using-endoscopic-images-development-validation-and-method-comparison/ https://www.hj-chung.com/publication/unsupervised-deep-learning-methods-for-biological-image-reconstruction-and-enhancement/ https://www.hj-chung.com/publication/unpaired-deep-learning-for-accelerated-mri-using-optimal-transport-driven-cyclegan/ https://www.hj-chung.com/publication/unpaired-training-of-deep-learning-tmra-for-flexible-spatio-temporal-resolution/ https://www.hj-chung.com/publication/feature-disentanglement-in-generating-three-dimensional-structure-from-two-dimensional-slice-with-slicegan/ https://www.hj-chung.com/publication/simultaneous-super-reoslution-and-motion-artifact-removal-in-diffusion-weighted-mri-using-unsupervised-deep-learning/ https://www.hj-chung.com/publication/two-stage-deep-learning-for-accelerated-3d-time-of-flight-mra-without-matched-training-data/ https://www.hj-chung.com/publication/deep-learning-fast-mri-using-channel-attention-in-magnitude-domain/ https://www.hj-chung.com/publication/missing-cone-artifacts-removal-in-odt-using-unsupervised-deep-learning-in-projection-domain/ https://www.hj-chung.com/tag/3d/ https://www.hj-chung.com/tag/adain/ https://www.hj-chung.com/tag/attention/ https://www.hj-chung.com/tag/biological-image-reconstruction/ https://www.hj-chung.com/tag/blind-inverse-problem/ https://www.hj-chung.com/tag/classification/ https://www.hj-chung.com/tag/compressed-sensing-mri/ https://www.hj-chung.com/tag/deep-image-prior/ https://www.hj-chung.com/tag/deep-learning/ https://www.hj-chung.com/tag/diffusion-model/ https://www.hj-chung.com/tag/dwi/ https://www.hj-chung.com/tag/endoscopy/ https://www.hj-chung.com/tag/feature-disentanglement/ https://www.hj-chung.com/tag/generative-modeling/ https://www.hj-chung.com/tag/inverse-problem/ https://www.hj-chung.com/tag/mri/ https://www.hj-chung.com/tag/optimal-transport/ https://www.hj-chung.com/tag/posterior-sampling/ https://www.hj-chung.com/tag/score-based-model/ https://www.hj-chung.com/tag/unsupervised-learning/