Breaking Weather-Content Coupling: Type-Severity Guided Progressive Disentanglement for All-in-One Infrared Restoration

arXiv:2609.27317 · cs.CV, cs.AI · Submitted 2026-09-23 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

Benchmark — 10× in this paper · explained in 2 episodes
Transformer — 10× in this paper · explained in 2 episodes
Fidelity — 8× in this paper · explained in 2 episodes
Ablation — 6× in this paper · explained in 1 episode
Consistency — 6× in this paper · explained in 3 episodes
Ablation study — 3× in this paper · explained in 1 episode
Ablation Studies — 2× in this paper · explained in 1 episode
Alignment — 2× in this paper · explained in 1 episode
Diffusion Model — 2× in this paper · explained in 8 episodes
Redundancy — 2× in this paper · explained in 2 episodes
Two-stage training — 2× in this paper · explained in 2 episodes
Unified Framework — 2× in this paper · explained in 5 episodes
AdamW Optimizer — 1× in this paper · explained in 1 episode
Adaptability — 1× in this paper · explained in 1 episode
Adaptive Expert Routing — 1× in this paper · explained in 1 episode
Data Augmentation — 1× in this paper · explained in 7 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Interpretability — 1× in this paper · explained in 15 episodes
Multimodal Fusion — 1× in this paper · explained in 3 episodes
Two-Stage Optimization — 1× in this paper · explained in 2 episodes
Two-Stage Training Strategy — 1× in this paper · explained in 3 episodes

Sources

Expandable, Compressible, Mineable: Open-World Thermal Image Restoration

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