PRISM benchmark perturbs Crello layouts into 110K samples isolating design principle violations, reveals limited sensitivity in several multimodal models, and proposes a multi-scale framework combining scorers, instruction-tuned VLMs, and prompt methods for interpretable design assessment.
COLE: A hierarchical generation framework for graphic design.arXiv preprint arXiv:2311.16974
5 Pith papers cite this work. Polarity classification is still indexing.
years
2026 5verdicts
UNVERDICTED 5representative citing papers
Presents MRT, a 20B-parameter masked region diffusion model unifying text-to-layers, image-to-layers, and layers-to-layers tasks with an overflow-aware canvas layer for complete editable outputs.
GIST is a training-free identity-preserving image compositor that improves visual harmony when integrating disparate elements into design pipelines.
Brief2Design supports a multi-phased workflow for AI-assisted graphic design from briefs, increasing prompt diversity and requirement handling ratings but requiring more generation time than conversational baselines.
Visual generation models are evolving from passive renderers to interactive agentic world modelers, but current systems lack spatial reasoning, temporal consistency, and causal understanding, with evaluations overemphasizing perceptual quality.
citing papers explorer
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Through the PRISM: Principle-Aware, Interpretable, and Multi-Scale Evaluation of Visual Designs
PRISM benchmark perturbs Crello layouts into 110K samples isolating design principle violations, reveals limited sensitivity in several multimodal models, and proposes a multi-scale framework combining scorers, instruction-tuned VLMs, and prompt methods for interpretable design assessment.
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MRT: Masked Region Transformer for Layered Image Generation and Editing at Scale
Presents MRT, a 20B-parameter masked region diffusion model unifying text-to-layers, image-to-layers, and layers-to-layers tasks with an overflow-aware canvas layer for complete editable outputs.
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Towards Design Compositing
GIST is a training-free identity-preserving image compositor that improves visual harmony when integrating disparate elements into design pipelines.
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Brief2Design: A Multi-phased, Compositional Approach to Prompt-based Graphic Design
Brief2Design supports a multi-phased workflow for AI-assisted graphic design from briefs, increasing prompt diversity and requirement handling ratings but requiring more generation time than conversational baselines.
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Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling
Visual generation models are evolving from passive renderers to interactive agentic world modelers, but current systems lack spatial reasoning, temporal consistency, and causal understanding, with evaluations overemphasizing perceptual quality.