Reliably fast adversarial training via latent adversarial perturbation. - Geon Yeong Park; Sang Wan Lee (ICCV, 2021)

Information-theoretic regularization for Multi-source Domain Adaptation. - Geon Yeong Park; Sang Wan Lee (ICCV, 2021)

Efficient debiasing with contrastive weight pruning. - Geon Yeong Park; Sangmin Lee 017; Sang Wan Lee; Jong Chul Ye (CoRR, 2022)

Self-supervised debiasing using low rank regularization. - Geon Yeong Park; Chanyong Jung; Jong Chul Ye; Sang Wan Lee (CoRR, 2022)

Training Debiased Subnetworks with Contrastive Weight Pruning. - Geon Yeong Park; Sangmin Lee 017; Sang Wan Lee; Jong Chul Ye (CVPR, 2023)

Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models. - Geon Yeong Park; Jeongsol Kim; Beomsu Kim; Sang Wan Lee; Jong Chul Ye (NeurIPS, 2023)

VMC: Video Motion Customization Using Temporal Attention Adaption for Text-to-Video Diffusion Models. - Hyeonho Jeong; Geon Yeong Park; Jong Chul Ye (CVPR, 2024)

Contrastive Denoising Score for Text-Guided Latent Diffusion Image Editing. - Hyelin Nam; Gihyun Kwon; Geon Yeong Park; Jong Chul Ye (CVPR, 2024)

Self-Supervised Debiasing Using Low Rank Regularization. - Geon Yeong Park; Chanyong Jung; Sangmin Lee 017; Jong Chul Ye; Sang Wan Lee (CVPR, 2024)

DreamMotion: Space-Time Self-similar Score Distillation for Zero-Shot Video Editing. - Hyeonho Jeong; Jinho Chang; Geon Yeong Park; Jong Chul Ye (ECCV (30), 2024)

DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation. - Jeongsol Kim; Geon Yeong Park; Jong Chul Ye (ECCV (82), 2024)

DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing. - Hyeonho Jeong; Jinho Chang; Geon Yeong Park; Jong Chul Ye (CoRR, 2024)

VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide. - Dohun Lee; Bryan S. Kim; Geon Yeong Park; Jong Chul Ye (CoRR, 2024)

Inference-Time Diffusion Model Distillation. - Geon Yeong Park; Sang Wan Lee; Jong Chul Ye (CoRR, 2024)

Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models. - Geon Yeong Park; Hyeonho Jeong; Sang Wan Lee; Jong Chul Ye (AAAI, 2025)

VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide. - Dohun Lee; Bryan Sangwoo Kim; Geon Yeong Park; Jong Chul Ye (CVPR, 2025)

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. - Hyungjin Chung; Jeongsol Kim; Geon Yeong Park; Hyelin Nam; Jong Chul Ye (ICLR, 2025)

Regularization by Texts for Latent Diffusion Inverse Solvers. - Jeongsol Kim; Geon Yeong Park; Hyungjin Chung; Jong Chul Ye (ICLR, 2025)