{"total":229,"rows":[{"id":"2311.03054","title":"AnyText: Multilingual Visual Text Generation And Editing","created":"2023-11-06","cited_by_count":170,"area":"diffusion"},{"id":"2406.08070","title":"CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models","created":"2024-06-12","cited_by_count":149,"area":"diffusion"},{"id":"2311.16465","title":"TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering","created":"2023-11-28","cited_by_count":140,"area":"diffusion"},{"id":"2407.05600","title":"GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing","created":"2024-07-08","cited_by_count":133,"area":"mllm"},{"id":"2310.10123","title":"AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion","created":"2023-10-16","cited_by_count":100,"area":"diffusion"},{"id":"2506.18095","title":"ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation","created":"2025-06-22","cited_by_count":97,"area":null},{"id":"2309.11419","title":"KOSMOS-2.5: A Multimodal Literate Model","created":"2023-09-20","cited_by_count":96,"area":null},{"id":"2505.02567","title":"Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities","created":"2025-05-05","cited_by_count":85,"area":null},{"id":"2403.04279","title":"Controllable Generation with Text-to-Image Diffusion Models: A Survey","created":"2024-03-07","cited_by_count":83,"area":"diffusion"},{"id":"2403.09622","title":"Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering","created":"2024-03-14","cited_by_count":81,"area":null},{"id":"2312.16476","title":"SVGDreamer: Text Guided SVG Generation with Diffusion Model","created":"2023-12-27","cited_by_count":76,"area":"diffusion"},{"id":"2509.25050","title":"Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models","created":"2025-09-29","cited_by_count":67,"area":"diffusion"},{"id":"2312.04884","title":"UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models","created":"2023-12-08","cited_by_count":59,"area":"diffusion"},{"id":"2407.16364","title":"Harmonizing Visual Text Comprehension and Generation","created":"2024-07-23","cited_by_count":54,"area":null},{"id":"2411.15245","title":"AnyText2: Visual Text Generation and Editing With Customizable Attributes","created":"2024-11-22","cited_by_count":53,"area":null},{"id":"2406.10208","title":"Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering","created":"2024-06-14","cited_by_count":48,"area":null},{"id":"2505.03329","title":"FLUX-Text: A Simple and Advanced Diffusion Transformer Baseline for Scene Text Editing","created":"2025-05-06","cited_by_count":46,"area":"diffusion"},{"id":"2410.10133","title":"TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control","created":"2024-10-14","cited_by_count":45,"area":null},{"id":"2312.12232","title":"Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model","created":"2023-12-19","cited_by_count":41,"area":"diffusion"},{"id":"2412.00136","title":"FonTS: Text Rendering with Typography and Style Controls","created":"2024-11-28","cited_by_count":40,"area":null},{"id":"2503.01645","title":"DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models","created":"2025-03-03","cited_by_count":40,"area":"diffusion"},{"id":"2506.10741","title":"PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework","created":"2025-06-12","cited_by_count":40,"area":null},{"id":"2405.19334","title":"LLMs Meet Multimodal Generation and Editing: A Survey","created":"2024-05-29","cited_by_count":35,"area":null},{"id":"2504.13936","title":"ViMo: A Generative Visual GUI World Model for App Agents","created":"2025-04-15","cited_by_count":35,"area":"wm"},{"id":"2605.08063","title":"Flow-OPD: On-Policy Distillation for Flow Matching Models","created":"2026-05-08","cited_by_count":34,"area":"diffusion"},{"id":"2507.02664","title":"AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models","created":"2025-07-03","cited_by_count":33,"area":"mllm"},{"id":"2310.12128","title":"DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning","created":"2023-10-18","cited_by_count":29,"area":null},{"id":"2407.02252","title":"GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models","created":"2024-07-02","cited_by_count":29,"area":"diffusion"},{"id":"2308.16463","title":"Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models","created":"2023-08-31","cited_by_count":28,"area":null},{"id":"2502.07870","title":"TextAtlas5M: A Large-scale Dataset for Dense Text Image Generation","created":"2025-02-11","cited_by_count":27,"area":null},{"id":"2505.24417","title":"EasyText: Controllable Diffusion Transformer for Multilingual Text Rendering","created":"2025-05-30","cited_by_count":26,"area":"diffusion"},{"id":"2503.23461","title":"Investigating Text Insulation and Attention Mechanisms for Complex Visual Text Generation","created":"2025-03-30","cited_by_count":25,"area":null},{"id":"2407.14138","title":"Visual Text Generation in the Wild","created":"2024-07-19","cited_by_count":22,"area":null},{"id":"2412.00114","title":"SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments","created":"2024-11-28","cited_by_count":22,"area":"mllm"},{"id":"2407.21422","title":"Revisiting Tampered Scene Text Detection in the Era of Generative AI","created":"2024-07-31","cited_by_count":21,"area":null},{"id":"2503.20672","title":"BizGen: Advancing Article-level Visual Text Rendering for Infographics Generation","created":"2025-03-26","cited_by_count":20,"area":null},{"id":"2502.18778","title":"M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance","created":"2025-02-26","cited_by_count":19,"area":null},{"id":"2504.21682","title":"Visual Text Processing: A Comprehensive Review and Unified Evaluation","created":"2025-04-30","cited_by_count":19,"area":null},{"id":"2312.04005","title":"KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis","created":"2023-12-07","cited_by_count":18,"area":"diffusion"},{"id":"2405.04377","title":"Choose What You Need: Disentangled Representation Learning for Scene Text Recognition, Removal and Editing","created":"2024-05-07","cited_by_count":18,"area":null},{"id":"2405.14701","title":"DreamText: High Fidelity Scene Text Synthesis","created":"2024-05-23","cited_by_count":18,"area":null},{"id":"2310.15144","title":"DEsignBench: Exploring and Benchmarking DALL-E 3 for Imagining Visual Design","created":"2023-10-23","cited_by_count":17,"area":null},{"id":"2403.07860","title":"Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation","created":"2024-03-12","cited_by_count":17,"area":"diffusion"},{"id":"2404.14715","title":"FINEMATCH: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction","created":"2024-04-23","cited_by_count":17,"area":"mllm"},{"id":"2512.24138","title":"GARDO: Reinforcing Diffusion Models without Reward Hacking","created":"2025-12-30","cited_by_count":17,"area":"diffusion"},{"id":"2312.08822","title":"Planning and Rendering: Towards Product Poster Generation with Diffusion Models","created":"2023-12-14","cited_by_count":16,"area":"diffusion"},{"id":"2409.06065","title":"DiffusionPen: Towards Controlling the Style of Handwritten Text Generation","created":"2024-09-09","cited_by_count":16,"area":"diffusion"},{"id":"2410.10168","title":"First Creating Backgrounds Then Rendering Texts: A New Paradigm for Visual Text Blending","created":"2024-10-14","cited_by_count":16,"area":"diffusion"},{"id":"2506.21276","title":"WordCon: Word-level Typography Control in Scene Text Rendering","created":"2025-06-26","cited_by_count":16,"area":null},{"id":"2503.21749","title":"LeX-Art: Rethinking Text Generation via Scalable High-Quality Data Synthesis","created":"2025-03-27","cited_by_count":15,"area":null},{"id":"2602.20903","title":"TextPecker: Rewarding Structural Anomaly Quantification for Enhancing Visual Text Rendering","created":"2026-02-24","cited_by_count":15,"area":null},{"id":"2406.01062","title":"Layout Agnostic Scene Text Image Synthesis with Diffusion Models","created":"2024-06-03","cited_by_count":14,"area":"diffusion"},{"id":"2410.11236","title":"Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling","created":"2024-10-15","cited_by_count":14,"area":"alignment"},{"id":"2412.17225","title":"CharGen: High Accurate Character-Level Visual Text Generation Model with MultiModal Encoder","created":"2024-12-23","cited_by_count":14,"area":null},{"id":"2510.08425","title":"Reinforcing Diffusion Models by Direct Group Preference Optimization","created":"2025-10-09","cited_by_count":14,"area":"lr"},{"id":"2403.16422","title":"Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation","created":"2024-03-25","cited_by_count":13,"area":"diffusion"},{"id":"2409.06493","title":"Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models","created":"2024-09-09","cited_by_count":13,"area":"diffusion"},{"id":"2411.17687","title":"GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration","created":"2024-11-26","cited_by_count":13,"area":"diffusion"},{"id":"2505.17778","title":"TextFlux: An OCR-Free DiT Model for High-Fidelity Multilingual Scene Text Synthesis","created":"2025-05-23","cited_by_count":13,"area":null},{"id":"2506.02698","title":"Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences","created":"2025-06-03","cited_by_count":13,"area":"diffusion"},{"id":"2509.16131","title":"Dynamic Classifier-Free Diffusion Guidance via Online Feedback","created":"2025-09-19","cited_by_count":13,"area":"diffusion"},{"id":"2411.19415","title":"AMO Sampler: Enhancing Text Rendering with Overshooting","created":"2024-11-28","cited_by_count":12,"area":"diffusion"},{"id":"2602.01382","title":"PromptRL: Prompt Matters in RL for Flow-Based Image Generation","created":"2026-02-01","cited_by_count":12,"area":"diffusion"},{"id":"2505.04915","title":"GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing","created":"2025-05-08","cited_by_count":11,"area":null},{"id":"2403.00303","title":"ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and Spotting","created":"2024-03-01","cited_by_count":10,"area":null},{"id":"2409.05622","title":"Forward KL Regularized Preference Optimization for Aligning Diffusion Policies","created":"2024-09-09","cited_by_count":10,"area":"diffusion"},{"id":"2411.06206","title":"Text2CAD: Text to 3D CAD Generation via Technical Drawings","created":"2024-11-09","cited_by_count":10,"area":null},{"id":"2502.10999","title":"ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations","created":"2025-02-16","cited_by_count":10,"area":"diffusion"},{"id":"2505.04946","title":"T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models","created":"2025-05-08","cited_by_count":10,"area":null},{"id":"2507.05601","title":"Rethinking Layered Graphic Design Generation with a Top-Down Approach","created":"2025-07-08","cited_by_count":10,"area":null},{"id":"2601.03993","title":"PosterVerse: A Full-Workflow Framework for Commercial-Grade Poster Generation with HTML-Based Scalable Typography","created":"2026-01-07","cited_by_count":10,"area":null},{"id":"2407.10476","title":"Kinetic Typography Diffusion Model","created":"2024-07-15","cited_by_count":9,"area":"diffusion"},{"id":"2407.11502","title":"How Control Information Influences Multilingual Text Image Generation and Editing?","created":"2024-07-16","cited_by_count":9,"area":"diffusion"},{"id":"2407.14774","title":"Intelligent Artistic Typography: A Comprehensive Review of Artistic Text Design and Generation","created":"2024-07-20","cited_by_count":9,"area":null},{"id":"2408.03637","title":"TALE: Training-free Cross-domain Image Composition via Adaptive Latent Manipulation and Energy-guided Optimization","created":"2024-08-07","cited_by_count":9,"area":"diffusion"},{"id":"2410.01912","title":"A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation","created":"2024-10-02","cited_by_count":9,"area":null},{"id":"2505.23130","title":"PhotoArtAgent: Intelligent Photo Retouching with Language Model-Based Artist Agents","created":"2025-05-29","cited_by_count":9,"area":"agents"},{"id":"2602.06422","title":"Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO","created":"2026-02-06","cited_by_count":9,"area":"lr"},{"id":"2402.03082","title":"Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing","created":"2024-02-05","cited_by_count":8,"area":null},{"id":"2406.06730","title":"TRINS: Towards Multimodal Language Models that Can Read","created":"2024-06-10","cited_by_count":8,"area":"mllm"},{"id":"2406.11432","title":"AnyTrans: Translate AnyText in the Image with Large Scale Models","created":"2024-06-17","cited_by_count":8,"area":"diffusion"},{"id":"2410.12844","title":"TextLap: Customizing Language Models for Text-to-Layout Planning","created":"2024-10-09","cited_by_count":8,"area":null},{"id":"2412.01137","title":"TextSSR: Diffusion-based Data Synthesis for Scene Text Recognition","created":"2024-12-02","cited_by_count":8,"area":null},{"id":"2507.00992","title":"UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis","created":"2025-07-01","cited_by_count":8,"area":null},{"id":"2507.09910","title":"IGD: Instructional Graphic Design with Multimodal Layer Generation","created":"2025-07-14","cited_by_count":8,"area":null},{"id":"2512.00743","title":"Multi-GRPO: Multi-Group Advantage Estimation for Text-to-Image Generation with Tree-Based Trajectories and Multiple Rewards","created":"2025-11-30","cited_by_count":8,"area":"lr"},{"id":"2411.18159","title":"Type-R: Automatically Retouching Typos for Text-to-Image Generation","created":"2024-11-27","cited_by_count":7,"area":null},{"id":"2504.19724","title":"RepText: Rendering Visual Text via Replicating","created":"2025-04-28","cited_by_count":7,"area":null},{"id":"2505.11070","title":"Towards Self-Improvement of Diffusion Models via Group Preference Optimization","created":"2025-05-16","cited_by_count":7,"area":"diffusion"},{"id":"2505.18985","title":"STRICT: Stress Test of Rendering Images Containing Text","created":"2025-05-25","cited_by_count":7,"area":"diffusion"},{"id":"2603.07700","title":"TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward","created":"2026-03-08","cited_by_count":7,"area":"diffusion"},{"id":"2603.11593","title":"WeEdit: A Dataset, Benchmark and Glyph-Guided Framework for Text-centric Image Editing","created":"2026-03-12","cited_by_count":7,"area":null},{"id":"2603.16271","title":"VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment","created":"2026-03-17","cited_by_count":7,"area":"diffusion"},{"id":"2604.04142","title":"OP-GRPO: Efficient Off-Policy GRPO for Flow-Matching Models","created":"2026-04-05","cited_by_count":7,"area":"diffusion"},{"id":"2308.02905","title":"FASTER: A Font-Agnostic Scene Text Editing and Rendering Framework","created":"2023-08-05","cited_by_count":6,"area":null},{"id":"2406.19859","title":"MetaDesigner: Advancing Artistic Typography Through AI-Driven, User-Centric, and Multilingual WordArt Synthesis","created":"2024-06-28","cited_by_count":6,"area":null},{"id":"2512.04082","title":"PosterCopilot: Toward Layout Reasoning and Controllable Editing for Professional Graphic Design","created":"2025-12-03","cited_by_count":6,"area":null},{"id":"2512.12387","title":"Anchoring Values in Temporal and Group Dimensions for Flow Matching Model Alignment","created":"2025-12-13","cited_by_count":6,"area":"lr"},{"id":"2603.05898","title":"InnoAds-Composer: Efficient Condition Composition for E-Commerce Poster Generation","created":"2026-03-06","cited_by_count":6,"area":null},{"id":"2603.15616","title":"GlyphPrinter: Region-Grouped Direct Preference Optimization for Glyph-Accurate Visual Text Rendering","created":"2026-03-16","cited_by_count":6,"area":"alignment"}],"next_cursor":"100"}