| 2025 | CVPR | Auto-Encoded Supervision for Perceptual Image Super-Resolution. | MinKyu Lee, Sangeek Hyun, Woojin Jun, Jae-Pil Heo |
| 2025 | ICCV | Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation. | Jiwoo Chung, Sangeek Hyun, Hyunjun Kim, Eunseo Koh, MinKyu Lee, Jae-Pil Heo |
| 2024 | AAAI | Task-Disruptive Background Suppression for Few-Shot Segmentation. | Suho Park, Su Been Lee, Sangeek Hyun, Hyun Seok Seong, Jae-Pil Heo |
| 2024 | CVPR | Style Injection in Diffusion: A Training-Free Approach for Adapting Large-Scale Diffusion Models for Style Transfer. | Jiwoo Chung, Sangeek Hyun, Jae-Pil Heo |
| 2024 | CVPR | Diversity-Aware Channel Pruning for StyleGAN Compression. | Jiwoo Chung, Sangeek Hyun, Sang-Heon Shim, Jae-Pil Heo |
| 2023 | CVPR | Query - Dependent Video Representation for Moment Retrieval and Highlight Detection. | WonJun Moon, Sangeek Hyun, Sanguk Park, Dongchan Park, Jae-Pil Heo |
| 2023 | CVPR | Disentangled Representation Learning for Unsupervised Neural Quantization. | Haechan Noh, Sangeek Hyun, Woojin Jeong, Hanshin Lim, Jae-Pil Heo |
| 2022 | CVPR | Local Attention Pyramid for Scene Image Generation. | Sang-Heon Shim, Sangeek Hyun, Dae Hyun Bae, Jae-Pil Heo |
| 2021 | CVPR | Self-Supervised Video GANs: Learning for Appearance Consistency and Motion Coherency. | Sangeek Hyun, Jihwan Kim, Jae-Pil Heo |
| 2020 | ECCV | VarSR: Variational Super-Resolution Network for Very Low Resolution Images. | Sangeek Hyun, Jae-Pil Heo |