선도 연구 주제

전체 논문

NAIRL이 세 가지 선도 연구 주제에 걸쳐 발표한 연구의 전체 색인입니다.

연구 아카이브로 돌아가기

High-dimensional Generative Models

논문 27개
# High-dimensional Generative Foundation Models

AM-Adapter: Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis in-the-Wild

Siyoon Jin, Jisu Nam, Jiyoung Kim, Dahyun Chung, Yeong-Seok Kim, Joonhyung Park, Heonjeong Chu, Seungryong Kim · ICCV · 2025
# High-dimensional Generative Foundation Models

Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation

Keun-Soo Heo, Ji-Wung Han, Soyeon Bak, Minjoo Lim, Bogyeong Kang, Sang-Jun Park, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam · MICCAI · 2025
# High-dimensional Generative Foundation Models

Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging

Hyun Jung Lee, Eunjung Jo, Minjoo Lim, Young-Han Son, Bogyeong Kang, Hyeonyeong Nam, Ji-Hoon Jeong, Dong-Hee Shin, Tae-Eui Kam · MICCAI · 2025
# High-dimensional Generative Foundation Models

Pre-to-Post Operative MRI Generation with Retrieval-Based Visual In-Context Learning

Bogyeong Kang, Sang-Jun Park, Minjoo Lim, Myeongkyun Kang, Keun-Soo Heo, Ji-Hye Oh, Hyun Jung Lee, Tae-Eui Kam · MICCAI · 2025
# High-dimensional Generative Foundation Models

Diverse Sharpness-Aware Minimization for Machine Learning Force Fields in Semiconductor Simulations

Dong-Hee Shin, Young-Han Son, Tae-Eui Kam · ISOCC · 2025
# High-dimensional Generative Foundation Models

Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models

Tae-Young Lee, Juwon Seo, Jong Hwan Ko, Gyeong-Moon Park · NeurIPS · 2025
# High-dimensional Generative Foundation Models

SFUOD: Source-Free Unknown Object Detection

Keon-Hee Park, Seun-An Choe, Gyeong-Moon Park · ICCV · 2025
# High-dimensional Generative Foundation Models

GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar

SeungJun Moon, Hah Min Lew, Seungeun Lee, Ji-Su Kang, Gyeong-Moon Park · ICCV · 2025
# High-dimensional Generative Foundation Models

ConceptSplit: Decoupled Multi-Concept Personalization of Diffusion Models via Token-wise Adaptation and Attention Disentanglement

Habin Lim, Yeongseob Won, Juwon Seo, Gyeong-Moon Park · ICCV · 2025
# High-dimensional Generative Foundation Models

Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech

Taesoo Kim, Jinju Kim, Dongchan Kim, Jong Hwan Ko, Gyeong-Moon Park · ICML · 2025