Chunyang Cheng — accepted AI-conference papers

2026

Beyond Strict Pairing: Arbitrarily Paired Training for High-Performance Infrared and Visible Image Fusion

Yanglin Deng, Tianyang Xu, Chunyang Cheng, Hui Li, Xiaojun Wu, Josef Kittler

CVPR 2026

Infrared and visible image fusion (IVIF) aims to synthesise complementary information from the two source modalities while preserving natural textures and salient thermal signatures simultaneously. Existing solutions predominantly rely on extensive sets of rigidly aligned image pairs for training. H

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2025

One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion

Chunyang Cheng, Tianyang Xu, Zhenhua Feng, Xiaojun Wu, Zhangyong Tang, Hui Li +4

CVPR 2025poster

Advanced image fusion methods mostly prioritise high-level missions, where task interaction struggles with semantic gaps, requiring complex bridging mechanisms. In contrast, we propose to leverage low-level vision tasks from digital photography fusion, allowing for effective feature interaction thro…

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