Cover Image

Typographic Text Generation with Off-the-Shelf Diffusion Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peong, KhayTze, Uchida, Seiichi, Haraguchi, Daichi
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automatic Text Box Placement for Supporting Typographic Design
by: Muraoka, Jun, et al.
Published: (2025)

What Text Design Characterizes Book Genres?
by: Haraguchi, Daichi, et al.
Published: (2024)

Font Style Interpolation with Diffusion Models
by: Kondo, Tetta, et al.
Published: (2024)

Impression-CLIP: Contrastive Shape-Impression Embedding for Fonts
by: Kubota, Yugo, et al.
Published: (2024)

Font Impression Estimation in the Wild
by: Kitajima, Kazuki, et al.
Published: (2024)

Few-Part-Shot Font Generation
by: Akiba, Masaki, et al.
Published: (2025)

Type-R: Automatically Retouching Typos for Text-to-Image Generation
by: Shimoda, Wataru, et al.
Published: (2024)

Cross-Domain Image Conversion by CycleDM
by: Shimotsumagari, Sho, et al.
Published: (2024)

Total Disentanglement of Font Images into Style and Character Class Features
by: Haraguchi, Daichi, et al.
Published: (2024)

NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging
by: Shirakawa, Takahiro, et al.
Published: (2024)

An Ordinal Diffusion Model for Generating Medical Images with Different Severity Levels
by: Takezaki, Shumpei, et al.
Published: (2024)

Can GPTs Evaluate Graphic Design Based on Design Principles?
by: Haraguchi, Daichi, et al.
Published: (2024)

SCoRe: Clean Image Generation from Diffusion Models Trained on Noisy Images
by: Matsuzaki, Yuta, et al.
Published: (2026)

Shape vs. Context: Examining Human--AI Gaps in Ambiguous Japanese Character Recognition
by: Haraguchi, Daichi
Published: (2026)

Inverse Scene Text Removal
by: Yoshimatsu, Takumi, et al.
Published: (2025)

Learning to Kern: Set-wise Estimation of Optimal Letter Space
by: Nakatsuru, Kei, et al.
Published: (2024)

Embedding Font Impression Word Tags Based on Co-occurrence
by: Kubota, Yugo, et al.
Published: (2025)

SeeDiff: Off-the-Shelf Seeded Mask Generation from Diffusion Models
by: Park, Joon Hyun, et al.
Published: (2025)

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models
by: Cheng, Hao, et al.
Published: (2024)

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model
by: Cheng, Hao, et al.
Published: (2024)

Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model
by: Aggarwal, Anirud, et al.
Published: (2025)

Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model
by: Toba, Masahito, et al.
Published: (2024)

MG-Gen: Single Image to Motion Graphics Generation
by: Shirakawa, Takahiro, et al.
Published: (2025)

InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models
by: Saini, Nirat, et al.
Published: (2024)

Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
by: Wang, Wen, et al.
Published: (2023)

Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels
by: Takezaki, Shumpei, et al.
Published: (2024)

Enhancing Reliability of Medical Image Diagnosis through Top-rank Learning with Rejection Module
by: Ji, Xiaotong, et al.
Published: (2025)

Computer-Aided Multi-Stroke Character Simplification by Stroke Removal
by: Ishiyama, Ryo, et al.
Published: (2025)

Hierarchical Co-Embedding of Font Shapes and Impression Tags
by: Kubota, Yugo, et al.
Published: (2026)

Read or Ignore? A Unified Benchmark for Typographic-Attack Robustness and Text Recognition in Vision-Language Models
by: Waseda, Futa, et al.
Published: (2025)

Reading Between the Pixels: Linking Text-Image Embedding Alignment to Typographic Attack Success on Vision-Language Models
by: Balakrishnan, Ravikumar, et al.
Published: (2026)

Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models
by: Cheng, Hao, et al.
Published: (2025)

Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models
by: Zhang, Yang, et al.
Published: (2024)

Ranking-Guided Semi-Supervised Domain Adaptation for Severity Classification
by: Harada, Shota, et al.
Published: (2026)

Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
by: Meng, Benyuan, et al.
Published: (2024)

Leveraging Vision-Language Models as Weak Annotators in Active Learning
by: Nguyen, Phuong Ngoc, et al.
Published: (2026)

Zero4D: Training-Free 4D Video Generation From Single Video Using Off-the-Shelf Video Diffusion
by: Park, Jangho, et al.
Published: (2025)

Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity
by: Kadota, Takeaki, et al.
Published: (2024)

Beyond Pixels: Semantic-aware Typographic Attack for Geo-Privacy Protection
by: Zhu, Jiayi, et al.
Published: (2025)

Towards Generative Predictive Display for Vision-Based Teleoperation: A Zero-Shot Benchmark of Off-the-Shelf Video Models
by: Khalil, Aws, et al.
Published: (2026)