yeungchenwa / Recommendations-Diffusion-Text-Image

A paper collection of recent diffusion models for text-image generation tasks, e,g., visual text generation, font generation, text removal, text image super resolution, text editing, handwritten generation, scene text recognition and scene text detection.

Recommendations of Diffusion for Text-Image

This repository contains a paper collection of recent diffusion models for text-image generation tasks.

📖 Table of Contents 👀

• Font Generation
• Text-to-Image (Visual Text Generation)
• Artistic Font Generation
• Text-Image Removal
• Text-Image Super Resolution
• Text-Image Editing
• Inpainting
• Handwritten Generation
• Scene Text Recognition
• Scene Text Detection

Font Generation

• DiffCJK: Conditional Diffusion Model for High-Quality and Wide-coverage CJK Character Generation (Apr. 2024)
  

• VecFusion: Vector Font Generation with Diffusion (CVPR2024)
  

• Font Style Interpolation with Diffusion Models (Fec., 2024)
  

• 🔥🔥🔥 FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning (AAAI2024)
  

• Diff-Font: Diffusion Model for Robust One-Shot Font Generation (Dec., 2022)
  

Text-to-Image (Visual Text Generation)

• Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering (Mar, 2024)
  

• Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model (Dec, 2023)
  

• UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models (Dec, 2023)
  

• TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering (Nov, 2023)
  

• ANYTEXT: MULTILINGUAL VISUAL TEXT GENERATION AND EDITING (Nov, 2023)
  

• TextDiffuser: Diffusion Models as Text Painters (May, 2023)
  

• GlyphControl: Glyph Conditional Control for Visual Text Generation (May, 2023)
  

• IF (Apr., 2023)
  

• GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image Generation (Mar., 2023)
  

• Character-aware models improve visual text rendering (Dec., 2022)
  

• eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers (Nov., 2022)
  

• Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (May, 2022)
  

Artistic Font Generation

• Word-As-Image for Semantic Typography (SIGGRAPH2023)

• ControlNet on Text Effect (Jul., 2023)

• DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion (ICCV2023)
  

Text-Image Removal

• Optical Character Recognition with Segment Anything (OCR-SAM) (Apr. 2023)
  

Text-Image Super Resolution

• Diffusion-based Blind Text Image Super-Resolution (CVPR2024)
  

• PEAN: A Diffusion-based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution (Nov. 2023)
  

• RECOGNITION-GUIDED DIFFUSION MODEL FOR SCENE TEXT IMAGE SUPER-RESOLUTION (Nov. 2023)
  

• Scene Text Image Super-resolution based on Text-conditional Diffusion Models (Nov. 2023)
  

• DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior (Aug. 2023)
  

• TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-Resolution (Aug., 2023)
  

• DocDiff: Document Enhancement via Residual Diffusion Models (ACMMM2023)
  

• STIRER: A Unified Model for Low-Resolution Scene Text Image Recovery and Recognition (ACMMM2023)
  

Text-Image Editing

• On Manipulating Scene Text in the Wild with Diffusion Models (WACV2024)
  

• DiffUTE: Universal Text Editing Diffusion Model (May, 2023)
  

• Improving Diffusion Models for Scene Text Editing with Dual Encoders (Apr., 2023)
  

Inpainting

• Text Image Inpainting via Global Structure-Guided Diffusion Models (AAAI2024)
  

Handwritten Generation

• Conditional Text Image Generation with Diffusion Models (CVPR2023)
  

• ChiroDiff: Modelling chirographic data with Diffusion Models (ICLR2023)
  

• Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition (May, 2023)
  

• WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models (ICDAR2023)
  

• Diffusion models for Handwriting Generation (Nov., 2020)
  

Scene Text Recognition

• DiffusionSTR: Diffusion Model for Scene Text Recognition (ICIP2023)
  
• IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition (TPAMI2023)
  

Scene Text Detection

• Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion Models (Nov. 2023)