Sungpyo Kim — accepted AI-conference papers

2025

PAN-Crafter: Learning Modality-Consistent Alignment for PAN-Sharpening

Jeonghyeok Do, Sungpyo Kim, Geunhyuk Youk, Jaehyup Lee, Munchurl Kim

ICCV 2025poster

PAN-sharpening aims to fuse high-resolution panchromatic (PAN) images with low-resolution multi-spectral (MS) images to generate high-resolution multi-spectral (HRMS) outputs. However, cross-modality misalignment---caused by sensor placement, acquisition timing, and resolution disparity---induces a…

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2025

U-Know-DiffPAN: An Uncertainty-aware Knowledge Distillation Diffusion Framework with Details Enhancement for PAN-Sharpening

Sungpyo Kim, Jeonghyeok Do, Jaehyup Lee, Munchurl Kim

CVPR 2025poster

Conventional methods for PAN-sharpening often struggle to restore fine details due to limitations in leveraging high-frequency information. Moreover, diffusion-based approaches lack sufficient conditioning to fully utilize Panchromatic (PAN) images and low-resolution multispectral (LRMS) inputs effe…

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