Cover Image

Few-Part-Shot Font Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Akiba, Masaki, Takezaki, Shumpei, Haraguchi, Daichi, Uchida, Seiichi
Format:	Preprint
Published:	2025
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

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

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

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

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

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

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

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

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

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

Typographic Text Generation with Off-the-Shelf Diffusion Model
by: Peong, KhayTze, et al.
Published: (2024)

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

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

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

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

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

NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models
by: Takezaki, Shumpei, et al.
Published: (2025)

VesselFusion: Diffusion Models for Vessel Centerline Extraction from 3D CT Images
by: Mita, Soichi, et al.
Published: (2026)

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

Cell Instance Segmentation via Multi-Task Image-to-Image Schrödinger Bridge
by: Inoue, Hayato, et al.
Published: (2026)

DA-Font: Few-Shot Font Generation via Dual-Attention Hybrid Integration
by: Chen, Weiran, et al.
Published: (2025)

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

Guidance-base Diffusion Models for Improving Photoacoustic Image Quality
by: Eguchi, Tatsuhiro, et al.
Published: (2025)

CF-Font: Content Fusion for Few-shot Font Generation
by: Wang, Chi, et al.
Published: (2023)

Learning to Kern: Set-wise Estimation of Optimal Letter Space
by: Nakatsuru, Kei, 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)

Structure-Level Disentangled Diffusion for Few-Shot Chinese Font Generation
by: Li, Jie, et al.
Published: (2026)

Beyond Patches: Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation
by: Cai, Haonan, et al.
Published: (2026)

MX-Font++: Mixture of Heterogeneous Aggregation Experts for Few-shot Font Generation
by: Wang, Weihang, et al.
Published: (2025)

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

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)

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

One-Shot Multilingual Font Generation Via ViT
by: Wang, Zhiheng, et al.
Published: (2024)

DRG-Font: Dynamic Reference-Guided Few-shot Font Generation via Contrastive Style-Content Disentanglement
by: Chakraborty, Rejoy, et al.
Published: (2026)

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

HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher Resolution
by: Li, Hua, et al.
Published: (2024)

Divide and Conquer: Static-Dynamic Collaboration for Few-Shot Class-Incremental Learning
by: Bao, Kexin, et al.
Published: (2026)

Generalized Few-Shot Out-of-Distribution Detection
by: Li, Pinxuan, et al.
Published: (2025)

A Feature Generator for Few-Shot Learning
by: Kanagalingam, Heethanjan, et al.
Published: (2024)

FontAdapter: Instant Font Adaptation in Visual Text Generation
by: Koo, Myungkyu, et al.
Published: (2025)