Self-Supervised Dehazing Network Using Physical Priors. - Gwangjin Ju; Yeongcheol Choi; Donggun Lee; Jee Hyun Paik; Gyeongha Hwang; Seungyong Lee 001 (ACCV (3), 2022)

Mesh Density Adaptation for Template-based Shape Reconstruction. - Yucheol Jung; Hyomin Kim; Gyeongha Hwang; Seung-Hwan Baek; Seungyong Lee 001 (SIGGRAPH (Conference Paper Track), 2023)

Self-supervised learning for a nonlinear inverse problem with forward operator involving an unknown function arising in Photoacoustic Tomography. - Gyeongha Hwang; Gihyeon Jeon; Sunghwan Moon (CoRR, 2023)

ECALL: Expectation-calibrated learning for unsupervised blind deconvolution. - Markus Haltmeier; Gyeongha Hwang (CoRR, 2024)

Implicit learning to determine variable sound speed and the reconstruction operator in photoacoustic tomography. - Gyeongha Hwang; Gihyeon Jeon; Sunghwan Moon; Dabin Park (CoRR, 2024)

Noisier2Inverse: Self-Supervised Learning for Image Reconstruction With Correlated Noise. - Nadja Gruber; Johannes Schwab; Markus Haltmeier; Ander Biguri; Clemens Dlaska; Gyeongha Hwang (IEEE Access, 2025)