MSTypography: Multi-character Semantic Typography via Balancing Word Legibility and Object Recognizability

arXiv:2609.37141 · cs.CV, cs.GR · Submitted 2026-09-29 · Read on arXiv

cs.CV, cs.GR

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/datalabto/surya

Terminology

Diffusion Model — 10× in this paper · explained in 8 episodes
Ablation — 6× in this paper · explained in 1 episode
Diffusion Models — 6× in this paper · explained in 6 episodes
Local Optimization — 6× in this paper · explained in 2 episodes
Alignment — 4× in this paper · explained in 1 episode
Fidelity — 3× in this paper · explained in 2 episodes
Ablation study — 2× in this paper · explained in 1 episode
Consistency — 2× in this paper · explained in 3 episodes
Distillation — 2× in this paper · explained in 2 episodes
Loss Function — 2× in this paper · explained in 2 episodes
Transformer — 2× in this paper · explained in 2 episodes
Abstraction — 1× in this paper · explained in 1 episode
Accuracy — 1× in this paper · explained in 1 episode
Core — 1× in this paper · explained in 2 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Decoupling — 1× in this paper · explained in 2 episodes
Mask Generation — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
Robustness — 1× in this paper · explained in 5 episodes
Segmentation Masks — 1× in this paper · explained in 2 episodes
Semantic Alignment — 1× in this paper · explained in 3 episodes
Structural Constraints — 1× in this paper · explained in 2 episodes
Structural Integrity — 1× in this paper · explained in 3 episodes
Unified Framework — 1× in this paper · explained in 5 episodes

Sources

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