3 papers
cs.CV2026
Language-Assisted Super-Resolution from Real-World Low-Resolution Patches
Joonkyu Park, Kyoung Mu Lee
Single image super-resolution aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs. Training SR models typically requires paired HR-LR data, which is dif…
cs.CV2025
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…
cs.CV2024
GS-Blur: A 3D Scene-Based Dataset for Realistic Image Deblurring
Dongwoo Lee, Joonkyu Park, Kyoung Mu Lee
To train a deblurring network, an appropriate dataset with paired blurry and sharp images is essential. Existing datasets collect blurry images either synthetically by aggregating…