PosterMELD: Multi-Agent Paper-to-Poster Generation for Controllable Design Diversity with Editable Print-Ready Outputs

Hugging Face Daily Papers Papers

Summary

PosterMELD is a template-conditioned multi-agent pipeline that converts academic papers into editable, print-ready posters, achieving 81.3% Print-Ready Rate with low cost, and is released with code and resources.

Scientific poster construction compresses a long multimodal paper into a readable, editable canvas. Existing systems hide request-level failures by scoring only completed outputs; direct image generation is not element-editable, while coding-agent workflows are costly. PosterMELD is a template-conditioned multi-agent pipeline: capacity-aware slots guide writing before rendering, and deterministic gates plus vision-language model (VLM) review route failures to bounded repair. Each accepted request exports editable PowerPoint (PPTX) and Portable Network Graphics (PNG) artifacts; explicit design controls yield same-paper variants. Across 621 papers, Print-Ready Rate (PRR) counts requests passing geometric, readability, asset-integrity, and obvious-factual-error checks, with native editability reported separately. A frozen VLM assigns conditional Craftsmanship-Harmony-Expressiveness (CHE) scores to print-ready outputs. PosterMELD attains 81.3% PRR, 3.4 times P2P's rate and 5.2 times PosterGen's, and the highest conditional CHE among generated methods with multiple print-ready outputs. Native editability and explicit design controls are retained at a mean cost of USD 0.38 per request, 3.5% of Codex+Skill's. Code and resources are available at https://github.com/Shannon4Science/PosterMELD.
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Paper page - PosterMELD: Multi-Agent Paper-to-Poster Generation for Controllable Design Diversity with Editable Print-Ready Outputs

Source: https://huggingface.co/papers/2608.02218 Published on Aug 3

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Submitted byhttps://huggingface.co/T-Jack

Jieon Aug 5

Abstract

Scientificposterconstructioncompressesalongmultimodalpaperintoareadable,editablecanvas.Existingsystemshiderequest-levelfailuresbyscoringonlycompletedoutputs;directimagegenerationisnotelement-editable,whilecoding-agentworkflowsarecostly.PosterMELDisatemplate-conditionedmulti-agentpipeline:capacity-awareslotsguidewritingbeforerendering,anddeterministicgatesplusvision-languagemodel(VLM)reviewroutefailurestoboundedrepair.EachacceptedrequestexportseditablePowerPoint(PPTX)andPortableNetworkGraphics(PNG)artifacts;explicitdesigncontrolsyieldsame-papervariants.Across621papers,Print-ReadyRate(PRR)countsrequestspassinggeometric,readability,asset-integrity,andobvious-factual-errorchecks,withnativeeditabilityreportedseparately.AfrozenVLMassignsconditionalCraftsmanship-Harmony-Expressiveness(CHE)scorestoprint-readyoutputs.PosterMELDattains81.3%PRR,3.4timesP2P’srateand5.2timesPosterGen’s,andthehighestconditionalCHEamonggeneratedmethodswithmultipleprint-readyoutputs.NativeeditabilityandexplicitdesigncontrolsareretainedatameancostofUSD0.38perrequest,3.5%ofCodex+Skill’s.Codeandresourcesareavailableathttps://github.com/Shannon4Science/PosterMELD.

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