Efficient One-Step Diffusion Restoration Model with Compact Token Compression and Linear Attention

arXiv:2605.23451 · cs.CV · Submitted 2026-05-22 · Read on arXiv

cs.CV

Submitted: 2026-05-22

Updated: 2026-10-20

Comments: NeurIPS 2026; code: https://github.com/Seiun-Sky-debug/SANASR

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Latent Representation — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Redundancy — 1× in this paper · explained in 2 episodes

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