AIM 2020 Challenge on Image Extreme Inpainting. - Evangelos Ntavelis; Andrés Romero; Siavash Bigdeli; Radu Timofte; Zheng Hui; Xiumei Wang; Xinbo Gao 001; Chajin Shin; Taeoh Kim; Hanbin Son; Sangyoun Lee; Chao Li 034; et al. (ECCV Workshops (3), 2020)

Test-Time Adaptation for Out-Of-Distributed Image Inpainting. - Chajin Shin; Taeoh Kim; Sangjin Lee; Sangyoun Lee (ICIP, 2021)

Block-Attentive Subpixel Prediction Networks for Computationally Efficient Image Restoration. - Taeoh Kim; Chajin Shin; Sangjin Lee; Sangyoun Lee (IEEE Access, 2021)

Expanded Adaptive Scaling Normalization for End to End Image Compression. - Chajin Shin; Hyeongmin Lee; Hanbin Son; Sangjin Lee; Dogyoon Lee; Sangyoun Lee (ECCV (17), 2022)

Beyond Natural Motion: Exploring Discontinuity for Video Frame Interpolation. - Sangjin Lee; Hyeongmin Lee; Chajin Shin; Hanbin Son; Sangyoun Lee (CoRR, 2022)

Deblurred Neural Radiance Field with Physical Scene Priors. - Dogyoon Lee; Minhyeok Lee; Chajin Shin; Sangyoun Lee (CoRR, 2022)

DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors. - Dogyoon Lee; Minhyeok Lee; Chajin Shin; Sangyoun Lee (CVPR, 2023)

Exploring Discontinuity for Video Frame Interpolation. - Sangjin Lee; Hyeongmin Lee; Chajin Shin; Hanbin Son; Sangyoun Lee (CVPR, 2023)

Enhancing Video Frame Interpolation with Flow-Guided Deformable Convolution. - DongWoo Kang; Sangjin Lee; Chajin Shin; Sangyoun Lee (ICEIC, 2024)

Multi-Scale Feature Prediction with Auxiliary-Info for Neural Image Compression. - Chajin Shin; Sangjin Lee; Sangyoun Lee (CoRR, 2024)

Video Diffusion Models Are Strong Video Inpainter. - Minhyeok Lee; Suhwan Cho; Chajin Shin; Jungho Lee; Sunghun Yang; Sangyoun Lee (AAAI, 2025)