VarSR: Variational Super-Resolution Network for Very Low Resolution Images. - Sangeek Hyun; Jae-Pil Heo (ECCV (23), 2020)

Self-Supervised Video GANs: Learning for Appearance Consistency and Motion Coherency. - Sangeek Hyun; Jihwan Kim; Jae-Pil Heo (CVPR, 2021)

Local Attention Pyramid for Scene Image Generation. - Sang-Heon Shim; Sangeek Hyun; Dae Hyun Bae; Jae-Pil Heo (CVPR, 2022)

Query - Dependent Video Representation for Moment Retrieval and Highlight Detection. - WonJun Moon; Sangeek Hyun; Sanguk Park; Dongchan Park; Jae-Pil Heo (CVPR, 2023)

Disentangled Representation Learning for Unsupervised Neural Quantization. - Haechan Noh; Sangeek Hyun; Woojin Jeong; Hanshin Lim; Jae-Pil Heo (CVPR, 2023)

Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding. - WonJun Moon; Sangeek Hyun; Su Been Lee; Jae-Pil Heo (CoRR, 2023)

Frequency-Based Motion Representation for Video Generative Adversarial Networks. - Sangeek Hyun; Jaihyun Lew; Jiwoo Chung; Euiyeon Kim; Jae-Pil Heo (IEEE Trans. Image Process., 2023)

Task-Disruptive Background Suppression for Few-Shot Segmentation. - Suho Park; Su Been Lee; Sangeek Hyun; Hyun Seok Seong; Jae-Pil Heo (AAAI, 2024)

Style Injection in Diffusion: A Training-Free Approach for Adapting Large-Scale Diffusion Models for Style Transfer. - Jiwoo Chung; Sangeek Hyun; Jae-Pil Heo (CVPR, 2024)

Diversity-Aware Channel Pruning for StyleGAN Compression. - Jiwoo Chung; Sangeek Hyun; Sang-Heon Shim; Jae-Pil Heo (CVPR, 2024)

GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats. - Sangeek Hyun; Jae-Pil Heo (NeurIPS, 2024)

Adversarial Generation of Hierarchical Gaussians for 3D Generative Model. - Sangeek Hyun; Jae-Pil Heo (CoRR, 2024)

Auto-Encoded Supervision for Perceptual Image Super-Resolution. - Minkyu Lee; Sangeek Hyun; Woojin Jun; Jae-Pil Heo (CoRR, 2024)

Auto-Encoded Supervision for Perceptual Image Super-Resolution. - MinKyu Lee; Sangeek Hyun; Woojin Jun; Jae-Pil Heo (CVPR, 2025)

Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation. - Jiwoo Chung; Sangeek Hyun; Hyunjun Kim; Eunseo Koh; MinKyu Lee; Jae-Pil Heo (CoRR, 2025)

Rethinking LayerNorm in Image Restoration Transformers. - Minkyu Lee; Sangeek Hyun; Woojin Jun; Hyunjun Kim; Jiwoo Chung; Jae-Pil Heo (CoRR, 2025)