Publications
FLoD: Integrating Flexible Level of Detail into 3D Gaussian Splatting for Customizable Rendering
Yunji Seo*, Young Sun Choi*, Hyun Seung Son, Youngjung Uh
arxiv
[paper] [project page]
Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space
Hyunjee Lee*, Youngsik Yun*, Jeongmin Bae, Seoha Kim, Youngjung Uh
arxiv
[paper] [project page]
Harnessing Text-to-image Models for Video Generation
Mingi Kwon, Seoung Wug Oh, Yang Zhou, Difan Liu, Joon-Young Lee,
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
ECCV 2024
Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models
Sooyeon Go, Kyungmook Choi, Minjung Shin, Youngjung Uh
arxiv
Attribute Based Interpretable Evaluation Metrics for Generative Models
Dongkyun Kim*, Mingi Kwon*, Youngjung Uh
ICML 2024
[paper][project page][code]
Visual Style Prompting with Swapping Self-Attention
Jaeseok Jeong*, Junho Kim*, Yunjey Choi, Gayoung Lee, Youngjung Uh
Best paper award🏆 at AI4CC 2024 (CVPR workshop)
Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos
Seoha Kim*, Jeongmin Bae*, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh
AAAI 2024
Training-free Style Transfer Emerges from h-space in Diffusion models
Jaeseok Jeong*, Mingi Kwon*, Youngjung Uh
WACV 2024
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
NeurIPS 2023
[paper]
BallGAN: 3D-aware Image Synthesis with a Spherical Background
Minjung Shin, Yunji Seo, Jeongmin Bae, Young Sun Choi, Hyunsu Kim, Hyeran Byun, 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
Diffusion Models Already Have a Semantic Latent Space
Mingi Kwon, Jaeseok Jeong, Youngjung Uh
ICLR 2023 (notable-top-25%)
Samsung Humantech paper award - Gold prize
FurryGAN: High Quality Foreground-aware Image Synthesis
Jeongmin Bae, Mingi Kwon, Youngjung Uh
ECCV 2022
Contrastive Attention Maps for Self-supervised Co-localization
Minsong Ki, Youngjung Uh, Junsuk Choe, Hyeran Byun,
ICCV 2021 [paper]
Contrastive and consistent feature learning for weakly supervised object localization and semantic segmentation
Minsong Ki, Youngjung Uh, Wonyoung Lee, Hyeran Byun,
Neurocomputing, 2021 [paper]
ArrowGAN : Learning to Generate Videos by Learning Arrow of Time
Kibeom Hong*, Youngjung Uh*, Hyeran Byun (*: contributed equally)
Neurocomputing, 2021
[paper]
In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization (Oral)
Minsong Ki, Youngjung Uh, Wonyoung Lee, Hyeran Byun
ACCV 2020
[paper]
Background Suppression Network for Weakly-supervised Temporal Action Localization
Pilhyeon Lee, Youngjung Uh, Hyeran Byun
AAAI 2020
Older publications can be found in google scholar.