Diff-RF: Mutually Reinforced Image Registration and Fusion via Degradation-Aware Learning

arXiv:2609.28235 · cs.CV · Submitted 2026-09-23 · Read on arXiv

cs.CV

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/XunpengYi/Diff-RF

Terminology

Accuracy — 15× in this paper · explained in 1 episode
Generalization — 14× in this paper · explained in 13 episodes
Alignment — 11× in this paper · explained in 1 episode
Adaptation — 8× in this paper · explained in 1 episode
Consistency — 8× in this paper · explained in 3 episodes
Diffusion Model — 7× in this paper · explained in 8 episodes
Fidelity — 6× in this paper · explained in 2 episodes
Intra-Modal Restoration Module — 6× in this paper
Ablation — 5× in this paper · explained in 1 episode
Cross-Modal Diffusion Registration and Fusion Module — 5× in this paper
Transformer — 5× in this paper · explained in 2 episodes
Computational overhead — 4× in this paper · explained in 2 episodes
CVF International Conference on Computer Vision — 3× in this paper
Diffusion Process — 3× in this paper · explained in 2 episodes
Structural Integrity — 3× in this paper · explained in 3 episodes
Aggregation — 2× in this paper · explained in 1 episode
Benchmark — 2× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 2× in this paper
Contrastive Learning — 2× in this paper · explained in 5 episodes
Diffusion Models — 2× in this paper · explained in 6 episodes
Downstream Tasks — 2× in this paper · explained in 2 episodes
International Conference on Learning Representations — 2× in this paper
Loss Function — 2× in this paper · explained in 2 episodes
Regularization — 2× in this paper · explained in 3 episodes
Robustness — 2× in this paper · explained in 5 episodes
Unified Framework — 2× in this paper · explained in 5 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
AdamW Optimizer — 1× in this paper · explained in 1 episode
Decoupling — 1× in this paper · explained in 2 episodes
Distillation — 1× in this paper · explained in 2 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Local Optimization — 1× in this paper · explained in 2 episodes
Multimodal Fusion — 1× in this paper · explained in 3 episodes
Optical Flow — 1× in this paper · explained in 2 episodes
Sparsity — 1× in this paper · explained in 4 episodes
Two-Stage Optimization — 1× in this paper · explained in 2 episodes

Terminology

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