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MeshQuery uses VLM for agentic UV unwrapping of 3D models

By PulseAugur Editorial · [1 sources] ·

Researchers have developed MeshQuery, a novel agentic approach for automatic UV unwrapping of 3D models. This method utilizes a vision-language model (VLM) to plan seams based on natural language instructions and domain-specific knowledge. MeshQuery employs a queryable mesh representation and a domain-specific language to express seam plans as executable programs, allowing for iterative refinement based on feedback. The system demonstrates significant improvements over existing baselines in terms of chart count and seam length, with results preferred by professional artists. AI

IMPACT This research could streamline 3D asset creation pipelines by automating UV unwrapping, potentially reducing manual effort for artists.

RANK_REASON The cluster describes a new research paper detailing a novel method for UV parametrization. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

MeshQuery uses VLM for agentic UV unwrapping of 3D models

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The cluster describes a new research paper detailing a novel method for UV parametrization. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Marco Schouten, Arthur Roullier, Elie Michel, Ruben Wiersma, Axel Paris, Tamy Boubekeur ·

    MeshQuery: Agentic Seam Planning for UV Parametrization

    arXiv:2610.02507v1 Announce Type: new Abstract: We present MeshQuery, a training-free agentic approach to automatic UV unwrapping of production-grade quad meshes. A Vision-Language Model (VLM) plans artist-aligned seams using a set of edge-selection tools, conditioned on domain-s…

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