Learning Task Agnostic Temporal Consistency Correction. - Muhammad Kashif Ali; Dongjin Kim 004; Tae Hyun Kim 006 (CoRR, 2022)

Task Agnostic Restoration of Natural Video Dynamics. - Muhammad Kashif Ali; Dongjin Kim 004; Tae Hyun Kim 006 (ICCV, 2023)

Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows. - Seobin Park; Dongjin Kim 004; Sungyong Baik; Tae Hyun Kim 006 (ICML, 2023)

Harnessing Meta-Learning for Improving Full-Frame Video Stabilization. - Muhammad Kashif Ali; Eun Woo Im; Dongjin Kim 004; Tae Hyun Kim 006 (CVPR, 2024)

sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows. - Dongjin Kim 004; Donggoo Jung; Sungyong Baik; Tae Hyun Kim 006 (ICLR, 2024)