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# High-dimensional Generative Foundation Models
FlowDPS : Flow-Driven Posterior Sampling for Inverse Problems
Jeongsol Kim, Bryan Sangwoo Kim, Jong Chul Ye ·
ICCV
· 2025
# High-dimensional Generative Foundation Models
Free2Guide: Training-Free Text-to-Video Alignment using Image LVLM
Jaemin Kim, Bryan Sangwoo Kim, Jong Chul Ye ·
ICCV
· 2025
# High-dimensional Generative Foundation Models
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
Taesung Kwon, Jong Chul Ye ·
ICCV
· 2025
# High-dimensional Generative Foundation Models
Reangle-A-Video: 4D Video Generation as Video-to-Video Translation
Hyeonho Jeong, Suhyeon Lee, Jong Chul Ye ·
ICCV
· 2025
# Foundation Model for Robotics
Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning
Giwon Lee, Wooseong Jeong, Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon ·
ICCV
· 2025
# Foundation Model for Robotics
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
Jihun Kim, Hoyong Kwon, Hyeokjun Kweon, Wooseong Jeong, Kuk-Jin Yoon ·
ICCV
· 2025
# Foundation Model for Robotics
Learning Large Motion Estimation from Intermediate Representations with a High-Resolution Optical Flow Dataset Featuring Long-Range Dynamic Motion
Hoonhee Cho, Yuhwan Jeong, Kuk-Jin Yoon ·
ICCV
· 2025
# Foundation Model for Robotics
From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras
Youngho Kim, Hoonhee Cho, Kuk-Jin Yoon ·
ICCV
· 2025
# Foundation Model for Robotics
ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection
Jeonghye Kim, Sojeong Rhee, Minbeom Kim, Dohyung Kim, Sangmook Lee, Youngchul Sung, Kyomin Jung ·
EMNLP
· 2025
# Foundation Model for Robotics
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
Giseung Park, Youngchul Sung ·
ICLR
· 2025
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