mlsanityData to 14 Oct 2026

ReContraster: Making Your Posters Stand Out with Regional Contrast

arXiv 2604.10442 ↗First posted 12 Apr 2026cs.CVcited by 0

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Abstract (arXiv)

Effective poster design requires rapidly capturing attention and clearly conveying messages. Inspired by the ``contrast effects'' principle, we propose ReContraster, the first training-free model to leverage regional contrast to make posters stand out. By emulating the cognitive behaviors of a poster designer, ReContraster introduces the compositional multi-agent system to identify elements, organize layout, and evaluate generated poster candidates. To further ensure harmonious transitions across region boundaries, ReContraster integrates the hybrid denoising strategy during the diffusion process. We additionally contribute a new benchmark dataset for comprehensive evaluation. Seven quantitative metrics and four user studies confirm its superiority over relevant state-of-the-art methods, producing visually striking and aesthetically appealing posters.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 35 of its 61 references that are in the map. First posted on arXiv 12 Apr 2026.

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35 of 61 references.

References · 35

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23 more
  1. 2022Sketch-Guided Text-to-Image Diffusion Modelscited by 180
  2. 2023TextDiffuser-2: Unleashing the Power of Language Models for Text Renderingcited by 140
  3. 2024GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editingcited by 133
  4. 2024AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planningcited by 81
  5. 2023PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layoutcited by 61
  6. 2024CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generationcited by 60
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  8. 2023UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Modelscited by 59
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  10. 2024On the Multi-turn Instruction Following for Conversational Web Agentscited by 43
  11. 2023AutoPoster: A Highly Automatic and Content-aware Design System for Advertising Poster Generationcited by 41
  12. 2024PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLMcited by 41
  13. 2023StyleAdapter: A Unified Stylized Image Generation Modelcited by 39
  14. 2024OpenCOLE: Towards Reproducible Automatic Graphic Design Generationcited by 37
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  16. 2025Semantic-Aware Logical Reasoning via a Semiotic Frameworkcited by 32
  17. 2025STAGE: Storyboard-Anchored Generation for Cinematic Multi-shot Narrativecited by 23
  18. 2025A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimizationcited by 13
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  21. 2025Towards Deeper Emotional Reflection: Crafting Affective Image Filters with Generative Priorscited by 6
  22. 2026EmoMAS: Emotion-Aware Multi-Agent System for High-Stakes Edge-Deployable Negotiation with Bayesian Orchestrationcited by 5
  23. 2022Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modelingcited by 2

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