Cross-Modality Structural Guidance in 3D Latent Diffusion for Robust FLAIR Super-Resolution

arXiv:2606.25255 · cs.CV · Submitted 2026-06-24 · Read on arXiv

cs.CV

Submitted: 2026-06-24

Updated: 2026-09-24

Terminology

• Diffusion Model — 5× in this paper · explained in 8 episodes
• Hallucination — 5× in this paper · explained in 3 episodes
• Latent Space — 5× in this paper · explained in 7 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Ablation — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Cross-Modality Structural Swin Attention — 2× in this paper
• Foundation Model — 2× in this paper · explained in 3 episodes
• Latent Diffusion Model — 2× in this paper · explained in 2 episodes
• Structural Integrity — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Distribution Matching — 1× in this paper · explained in 2 episodes
• Exponential Moving Average (EMA) — 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
• Guided attention — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model (LDM) — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes

Sources

• A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging
• Decoupled Weight Decay Regularization
• PixelGen: Improving Pixel Diffusion with Perceptual Supervision
• DINOv3
• Very Deep Convolutional Networks for Large-Scale Image Recognition

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