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Zhanchuan Cai

2 accepted papers

2025

ControlFusion: A Controllable Image Fusion Network with Language-Vision Degradation Prompts

NeurIPS 2025oral

Current image fusion methods struggle with real-world composite degradations and lack the flexibility to accommodate user-specific needs. To address this, we propose ControlFusion, a controllable fusion network guided by language-vision prompts that adaptively mitigates composite degradations. On th…

Cited by 0SourceScholar
2025

Multimodal Image Matching Based on Cross-Modality Completion Pre-training

IJCAI 2025

The differences in imaging devices cause multimodal images to have modal differences and geometric distortions, complicating the matching task. Deep learning-based matching methods struggle with multimodal images due to the lack of large annotated multimodal datasets. To address these challenges, we

Cited by 0SourcePDFScholar