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The complete index of NAIRL’s published research across its three scientific frontiers.

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308 publications
# High-dimensional Generative Foundation Models

PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis

Sunghwan Hong, Jaewoo Jung, Heeseong Shin, Jisang Han, Jiaolong Yang, Chong Luo, Seungryong Kim · ICML · 2025
# High-dimensional Generative Foundation Models

Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment

Bryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye · NeurIPS · 2025
# High-dimensional Generative Foundation Models

Aligning Text to Image in Diffusion Models is Easier Than You Think

Jaa-Yeon Lee, Byunghee Cha, Jeongsol Kim, Jong Chul Ye · NeurIPS · 2025
# High-dimensional Generative Foundation Models

Inference-Time Diffusion Model Distillation

Geon Yeong Park, Sang Wan Lee, Jong Chul Ye · ICCV · 2025
# 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