5 papers
Auto-regressive transformation for image alignment
Kanggeon Lee, Soochahn Lee, Kyoung Mu Lee
Existing methods for image alignment struggle in cases involving feature-sparse regions, extreme scale and field-of-view differences, and large deformations, often resulting in sub…
Particle Diffusion Matching: Random Walk Correspondence Search for the Alignment of Standard and Ultra-Widefield Fundus Images
Kanggeon Lee, Soochahn Lee, Kyoung Mu Lee
We propose a robust alignment technique for Standard Fundus Images (SFIs) and Ultra-Widefield Fundus Images (UWFIs), which are challenging to align due to differences in scale, app…
MatRes: Zero-Shot Test-Time Model Adaptation for Simultaneous Matching and Restoration
Kanggeon Lee, Soochahn Lee, Kyoung Mu Lee
Real-world image pairs often exhibit both severe degradations and large viewpoint changes, making image restoration and geometric matching mutually interfering tasks when treated i…
MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook
Peng Xu, Shengwu Xiong, Jiajun Zhang +125
This paper reviews the MARS2 2025 Challenge on Multimodal Reasoning. We aim to bring together different approaches in multimodal machine learning and LLMs via a large benchmark. We…
SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion Models
Jaerin Lee, Daniel Sungho Jung, Kanggeon Lee +1
We introduce SemanticDraw, a new paradigm of interactive content creation where high-quality images are generated in near real-time from given multiple hand-drawn regions, each enc…