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Park, Geon Yeong
14 publications
ICLR
2025
CFG++: Manifold-Constrained Classifier Free Guidance for Diffusion Models
Hyungjin Chung
,
Jeongsol Kim
,
Geon Yeong Park
,
Hyelin Nam
,
Jong Chul Ye
ICCV
2025
Inference-Time Diffusion Model Distillation
Geon Yeong Park
,
Sang Wan Lee
,
Jong Chul Ye
ICLR
2025
Regularization by Texts for Latent Diffusion Inverse Solvers
Jeongsol Kim
,
Geon Yeong Park
,
Hyungjin Chung
,
Jong Chul Ye
AAAI
2025
Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models
Geon Yeong Park
,
Hyeonho Jeong
,
Sang Wan Lee
,
Jong Chul Ye
CVPR
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
2024
Contrastive Denoising Score for Text-Guided Latent Diffusion Image Editing
Hyelin Nam
,
Gihyun Kwon
,
Geon Yeong Park
,
Jong Chul Ye
ECCV
2024
DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video Editing
Hyeonho Jeong
,
Jinho Chang
,
Geon Yeong Park
,
Jong Chul Ye
ECCV
2024
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
Jeongsol Kim
,
Geon Yeong Park
,
Jong Chul Ye
CVPR
2024
Self-Supervised Debiasing Using Low Rank Regularization
Geon Yeong Park
,
Chanyong Jung
,
Sangmin Lee
,
Jong Chul Ye
,
Sang Wan Lee
CVPR
2024
VMC: Video Motion Customization Using Temporal Attention Adaption for Text-to-Video Diffusion Models
Hyeonho Jeong
,
Geon Yeong Park
,
Jong Chul Ye
NeurIPS
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
CVPR
2023
Training Debiased Subnetworks with Contrastive Weight Pruning
Geon Yeong Park
,
Sangmin Lee
,
Sang Wan Lee
,
Jong Chul Ye
ICCV
2021
Information-Theoretic Regularization for Multi-Source Domain Adaptation
Geon Yeong Park
,
Sang Wan Lee
ICCV
2021
Reliably Fast Adversarial Training via Latent Adversarial Perturbation
Geon Yeong Park
,
Sang Wan Lee