Publications

Frequency-Adaptive Sharpness Regularization
for Improving 3D Gaussian Splatting Generalization

Youngsik Yun, Dongjun Gu, Youngjung Uh

arXiv

[paper][project page]

Balanced conic rectified flow

Kim Shin Seong, Mingi Kwon, Jaeseok Jeong, Youngjung Uh

NeurIPS 2025

[paper]

Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models

Sooyeon Go, Kyungmook Choi, Minjung Shin, Youngjung Uh

WACV 2026

[paper][project page]

TTS-CtrlNet: Time varying emotion aligned text-to-speech generation with ControlNet

Jaeseok Jeong, Yuna Lee, Mingi Kwon, Youngjung Uh

arxiv

[paper] [project page]

StyleKeeper: Prevent content leakage via a negative visual query guidance

Jaeseok Jeong*, Junho Kim*, Yunjey Choi, Gayoung Lee, Youngjung Uh

ICCV 2025

FLoD: Integrating Flexible Level of Detail into 3D Gaussian Splatting for Customizable Rendering

Yunji Seo*, Young Sun Choi*, Hyunseung Son, Youngjung Uh

ACM Transactions on Graphics, SIGGRAPH 2025

 [paper] [project page] [code]

Compensating Spatiotemporally Inconsistent Observations for Online Dynamic 3D Gaussian Splatting

Youngsik Yun, Jeongmin Bae, Hyunseung Son, Seoha Kim, Hahyun Lee, Gun Bang, Youngjung Uh

SIGGRAPH 2025

[paper] [project page]

TCFG: Tangential Damping Classifier-free Guidance

Mingi Kwon*, Shin seong Kim*, Jaeseok Jeong, Yi Ting Hsiao, Youngjung Uh

CVPR 2025

[paper] [project page]

4D Scaffold Gaussian Splatting for Memory Efficient Dynamic Scene Reconstruction

Woong Oh Cho, In Cho, Seoha Kim, Jeongmin Bae, Youngjung Uh, Seon Joo Kim

arxiv

[paper] 

Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space

Hyunjee Lee*, Youngsik Yun*, Jeongmin Bae, Seoha Kim, Youngjung Uh

AAAI 2025

[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

[paper] [project page]

Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models

Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava

ECCV 2024

[paper] [project page]

Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting

Jeongmin Bae*, Seoha Kim*, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh

ECCV 2024

[paper][project page]

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)

[paper][project page]

Plug-and-Play Diffusion Distillation

Yi-Ting Hsiao, Siavash Khodadadeh, Kevin Duarte, Wei-An Lin, Hui Qu, Mingi Kwon, Ratheesh Kalarot

CVPR 2024

[paper][project page]

Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos

Seoha Kim*, Jeongmin Bae*, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh

AAAI 2024

[paper][project page]

Training-free Style Transfer Emerges from h-space in Diffusion models

Jaeseok Jeong*, Mingi Kwon*, Youngjung Uh

WACV 2024

[paper][project page]

Semantic Image Synthesis with Unconditional Generator

Jungwoo Chae*, Hyunin Cho*, Sooyeon Go, Kyungmook Choi, Youngjung Uh

NeurIPS 2023

[project page]

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

[paper][project page]

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

[paper][project page]

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

[paper][project page]

FurryGAN: High Quality Foreground-aware Image Synthesis

Jeongmin Bae, Mingi Kwon, Youngjung Uh

ECCV 2022

[paper][project page]

Feature Statistics Mixing Regularization for Generative Adversarial Networks

Junho Kim, Yunjey Choi, Youngjung Uh

CVPR 2022

[paper][code]

Rethinking the Truly Unsupervised Image-to-Image Translation

Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim,

ICCV 2021

[paper][code]

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]

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing

Hyunsu Kim, Yunjey Choi, Junho Kim, Sungjoo Yoo, Youngjung Uh

CVPR 2021

[paper][code]