TOLA: Text-aware One-Step Latent Adaptation for Diffusion-based Text Image Super-Resolution

arXiv:2609.29240 · cs.CV, cs.AI · Submitted 2026-09-24 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

Adaptation — 12× in this paper · explained in 1 episode
Latent Residual Correction — 9× in this paper
Diffusion Model — 8× in this paper · explained in 8 episodes
Ablation — 6× in this paper · explained in 1 episode
Benchmark — 6× in this paper · explained in 2 episodes
Embeddings — 6× in this paper · explained in 2 episodes
Distillation — 5× in this paper · explained in 2 episodes
Accuracy — 4× in this paper · explained in 1 episode
Diffusion Models — 4× in this paper · explained in 6 episodes
Core — 3× in this paper · explained in 2 episodes
Fidelity — 3× in this paper · explained in 2 episodes
Transformer — 3× in this paper · explained in 2 episodes
Generalization — 2× in this paper · explained in 13 episodes
Iterative Refinement — 2× in this paper · explained in 3 episodes
Abundance — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Alignment — 1× in this paper · explained in 1 episode
Flow Matching — 1× in this paper · explained in 8 episodes
Latent Diffusion Model — 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 Space — 1× in this paper · explained in 7 episodes
LoRA Adapters — 1× in this paper · explained in 3 episodes
Provenance — 1× in this paper · explained in 4 episodes
Reconstruction Error — 1× in this paper · explained in 2 episodes
Redundancy — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes

Terminology

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