Geon Yeong Park

According to our database, Geon Yeong Park authored at least 22 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FlowLong: Inference-time Long Video Generation via Manifold-constrained Tweedie Matching.

Jangho Park, Geon Yeong Park, Gihyun Kwon, Jong Chul Ye

CoRR, May, 2026

3D-ReGen: A Unified 3D Geometry Regeneration Framework.

Geon Yeong Park, Roman Shapovalov, Rakesh Ranjan, Jong Chul Ye, Andrea Vedaldi, Thu Nguyen-Phuoc

CoRR, April, 2026

DreamMakeup: Face Makeup Customization using Latent Diffusion Models.

Geon Yeong Park, Inhwa Han, Serin Yang, Yeobin Hong, Seongmin Jeong, Heechan Jeon, Myeongjin Goh, Sung Won Yi, Jin Nam, Jong Chul Ye

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

WorldGen: From Text to Traversable and Interactive 3D Worlds.

Dilin Wang, Hyunyoung Jung, Tom Monnier, Kihyuk Sohn, Chuhang Zou, Xiaoyu Xiang, Yu-Ying Yeh, Di Liu, Zixuan Huang, Thu Nguyen-Phuoc, Yuchen Fan, Sergiu Oprea, Ziyan Wang, Roman Shapovalov, Nikolaos Sarafianos, Thibault Groueix, Antoine Toisoul, Prithviraj Dhar, Xiao Chu, Minghao Chen, Geon Yeong Park, Mahima Gupta, Yassir Azziz, Rakesh Ranjan, Andrea Vedaldi

CoRR, November, 2025

Regularization by Texts for Latent Diffusion Inverse Solvers.

Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.

Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Inference-Time Diffusion Model Distillation.

Geon Yeong Park, Sang Wan Lee, Jong Chul Ye

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide.

Dohun Lee, Bryan Sangwoo Kim, Geon Yeong Park, Jong Chul Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models.

Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing.

Hyeonho Jeong, Jinho Chang, Geon Yeong Park, Jong Chul Ye

CoRR, 2024

DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation.

Jeongsol Kim, Geon Yeong Park, Jong Chul Ye

Proceedings of the Computer Vision - ECCV 2024, 2024

DreamMotion: Space-Time Self-similar Score Distillation for Zero-Shot Video Editing.

Hyeonho Jeong, Jinho Chang, Geon Yeong Park, Jong Chul Ye

Proceedings of the Computer Vision - ECCV 2024, 2024

Self-Supervised Debiasing Using Low Rank Regularization.

Geon Yeong Park, Chanyong Jung, Sangmin Lee, Jong Chul Ye, Sang Wan Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Contrastive Denoising Score for Text-Guided Latent Diffusion Image Editing.

Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

VMC: Video Motion Customization Using Temporal Attention Adaption for Text-to-Video Diffusion Models.

Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Training Debiased Subnetworks with Contrastive Weight Pruning.

Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Self-supervised debiasing using low rank regularization.

Geon Yeong Park, Chanyong Jung, Jong Chul Ye, Sang Wan Lee

CoRR, 2022

Efficient debiasing with contrastive weight pruning.

Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye

CoRR, 2022

2021

Information-theoretic regularization for Multi-source Domain Adaptation.

Geon Yeong Park, Sang Wan Lee

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Reliably fast adversarial training via latent adversarial perturbation.

Geon Yeong Park, Sang Wan Lee

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021