Uh, Youngjung

25 publications

NeurIPS 2025 Balanced Conic Rectified Flow Shin seong Kim, Mingi Kwon, Jaeseok Jeong, Youngjung Uh

AAAI 2025 Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space Hyunjee Lee, Youngsik Yun, Jeongmin Bae, Seoha Kim, Youngjung Uh

ICCV 2025 StyleKeeper: Prevent Content Leakage Using Negative Visual Query Guidance Jaeseok Jeong, Junho Kim, Gayoung Lee, Yunjey Choi, Youngjung Uh

CVPR 2025 TCFG: Tangential Damping Classifier-Free Guidance Mingi Kwon, Shin seong Kim, Jaeseok Jeong, Yi Ting Hsiao, Youngjung Uh

ICML 2024 Attribute Based Interpretable Evaluation Metrics for Generative Models Dongkyun Kim, Mingi Kwon, Youngjung Uh

ECCV 2024 HARIVO: Harnessing Text-to-Image Models for Video Generation Mingi Kwon, Seoung Wug Oh, Yang Zhou, Joon-Young Lee, Difan Liu, Haoran Cai, Baqiao Liu, Feng Liu, Youngjung Uh

ECCV 2024 Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting Jeongmin Bae, Seoha Kim, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh

WACV 2024 Small Objects Matters in Weakly-Supervised Semantic Segmentation Cheolhyun Mun, Sanghuk Lee, Youngjung Uh, Junsuk Choe, Hyeran Byun

AAAI 2024 Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos Seoha Kim, Jeongmin Bae, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh

WACV 2024 Training-Free Content Injection Using H-Space in Diffusion Models Jaeseok Jeong, Mingi Kwon, Youngjung Uh

ICCV 2023 AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks Kibeom Hong, Seogkyu Jeon, Junsoo Lee, Namhyuk Ahn, Kunhee Kim, Pilhyeon Lee, Daesik Kim, Youngjung Uh, Hyeran Byun

ICCV 2023 BallGAN: 3D-Aware Image Synthesis with a Spherical Background Minjung Shin, Yunji Seo, Jeongmin Bae, Young Sun Choi, Hyunsu Kim, Hyeran Byun, Youngjung Uh

ICLR 2023 Diffusion Models Already Have a Semantic Latent Space Mingi Kwon, Jaeseok Jeong, Youngjung Uh

ICMLW 2023 Diffusion Models with Grouped Latents for Interpretable Latent Space Sangyun Lee, Gayoung Lee, Hyunsu Kim, Junho Kim, Youngjung Uh

CVPR 2023 LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data Jihye Park, Sunwoo Kim, Soohyun Kim, Seokju Cho, Jaejun Yoo, Youngjung Uh, Seungryong Kim

NeurIPS 2023 Semantic Image Synthesis with Unconditional Generator JungWoo Chae, Hyunin Cho, Sooyeon Go, Kyungmook Choi, Youngjung Uh

NeurIPS 2023 Understanding the Latent Space of Diffusion Models Through the Lens of Riemannian Geometry Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh

CVPR 2022 Feature Statistics Mixing Regularization for Generative Adversarial Networks Junho Kim, Yunjey Choi, Youngjung Uh

ECCV 2022 FurryGAN: High Quality Foreground-Aware Image Synthesis Jeongmin Bae, Mingi Kwon, Youngjung Uh

ICLR 2021 AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-Invariant Weights Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha

ICCV 2021 Contrastive Attention Maps for Self-Supervised Co-Localization Minsong Ki, Youngjung Uh, Junsuk Choe, Hyeran Byun

CVPR 2021 Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing Hyunsu Kim, Yunjey Choi, Junho Kim, Sungjoo Yoo, Youngjung Uh

ICCV 2021 Rethinking the Truly Unsupervised Image-to-Image Translation Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim

AAAI 2020 Background Suppression Network for Weakly-Supervised Temporal Action Localization Pilhyeon Lee, Youngjung Uh, Hyeran Byun

ICML 2020 Reliable Fidelity and Diversity Metrics for Generative Models Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo