MIAR: Medical Image Super-Resolution With Autoregressive Modeling

arXiv:2609.26103 · cs.CV · Submitted 2026-08-05 · Read on arXiv

cs.CV

Submitted: 2026-08-05

Updated: 2026-08-05

Code: https://github.com/Neesky/MIAR

Terminology

Fidelity — 21× in this paper · explained in 2 episodes
Medical Image Super-Resolution — 9× in this paper
Diffusion Model — 6× in this paper · explained in 8 episodes
Transformer — 5× in this paper · explained in 2 episodes
Ablation — 4× in this paper · explained in 1 episode
Consistency — 4× in this paper · explained in 3 episodes
Diffusion Models — 4× in this paper · explained in 6 episodes
Latent Space — 4× in this paper · explained in 7 episodes
Quantization — 4× in this paper · explained in 12 episodes
Benchmark — 3× in this paper · explained in 2 episodes
Embeddings — 2× in this paper · explained in 2 episodes
Hallucination — 2× in this paper · explained in 3 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Ablation study — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Computational overhead — 1× in this paper · explained in 2 episodes
Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative 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
Mode Collapse — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes

Sources

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Terminology

Sources

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