EPOFusion: Exposure aware Progressive Optimization Method for Infrared and Visible Image Fusion

arXiv:2603.16130 · cs.CV · Submitted 2026-03-17 · Read on arXiv

cs.CV

Submitted: 2026-03-17

Updated: 2026-09-16

Project page: https://warren-wzw.github.io/EPOFusion

Terminology

• Fidelity — 16× in this paper · explained in 2 episodes
• Consistency — 10× in this paper · explained in 3 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Benchmark — 8× in this paper · explained in 2 episodes
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Loss Function — 5× in this paper · explained in 2 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• High-Fidelity Branch — 4× in this paper
• Downstream Tasks — 3× in this paper · explained in 2 episodes
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Activation Function — 2× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Contextual Fusion Branch — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Iterative Refinement — 2× in this paper · explained in 3 episodes
• Multi-Scale Context Fusion Module — 2× in this paper
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptive Weighting — 1× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 1× in this paper
• Computational overhead — 1× in this paper · explained in 2 episodes
• Denoising Diffusion Probabilistic Model — 1× in this paper
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• YOLOv11: An Overview of the Key Architectural Enhancements

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