DiffMatch: Diffusion Model for Dense Matching. - Jisu Nam; Gyuseong Lee; Sunwoo Kim; Inès Hyeonsu Kim; Hyoungwon Cho; Seyeon Kim; Seungryong Kim (CoRR, 2023)

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation. - Junyoung Seo; Wooseok Jang; Minseop Kwak; Inès Hyeonsu Kim; Jaehoon Ko; Junho Kim; Jin-Hwa Kim; Jiyoung Lee; Seungryong Kim (ICLR, 2024)

Retrieval-Augmented Score Distillation for Text-to-3D Generation. - Junyoung Seo; Susung Hong; Wooseok Jang; Inès Hyeonsu Kim; Minseop Kwak; Doyup Lee; Seungryong Kim (ICML, 2024)

Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification. - Inès Hyeonsu Kim; Joungbin Lee; Soowon Son; Woojeong Jin 002; Kyusun Cho; Junyoung Seo; Minseop Kwak; Seokju Cho; JeongYeol Baek; Byeongwon Lee; Seungryong Kim (CoRR, 2024)

Geometry-Aware Score Distillation via 3D Consistent Noising and Gradient Consistency Modeling. - Minseop Kwak; Donghoon Ahn; Inès Hyeonsu Kim; Jin-Hwa Kim; Seungryong Kim (CoRR, 2024)

Exploring Temporally-Aware Features for Point Tracking. - Inès Hyeonsu Kim; Seokju Cho; Jiahui Huang; Jung Yi; Joon-Young Lee; Seungryong Kim (CVPR, 2025)

Learning to Track Any Points from Human Motion. - Inès Hyeonsu Kim; Seokju Cho; Jahyeok Koo; Junghyun Park; Jiahui Huang; Joon-Young Lee; Seungryong Kim (CoRR, 2025)