Public articles linked to the same research event.
arXiv MeshQuery presents a training-free agentic approach to automatic UV unwrapping in which a Vision-Language Model plans artist-aligned seams using a set of edge-selection tools, conditioned on domain-specific UV-unwrapping knowledge expressed in natural language and refined with a feedback loop, producing 2.9x/4.29x fewer charts and 1.63x/1.7x shorter seams than the strongest baseline on Adobe Substance 3D and Toys4K meshes, with professional artists preferring its results in 80.9% of comparisons.
MeshQuery presents a training-free agentic approach to automatic UV unwrapping in which a Vision-Language Model plans artist-aligned seams using a set of edge-selection tools, conditioned on domain-specific UV-unwrapping knowledge expressed in natural language and refined with a feedback loop, producing 2.9x/4.29x fewer charts and 1.63x/1.7x shorter seams than the strongest baseline on Adobe Substance 3D and Toys4K meshes, with professional artists preferring its results in 80.9% of comparisons.
MeshQuery presents a training-free agentic approach to automatic UV unwrapping in which a Vision-Language Model plans artist-aligned seams using a set of edge-selection tools, conditioned on domain-specific UV-unwrapping knowledge expressed in natural language and refined with a feedback loop, producing 2.9x/4.29x fewer charts and 1.63x/1.7x shorter seams than the strongest baseline on Adobe Substance 3D and Toys4K meshes, with professional artists preferring its results in 80.9% of comparisons.
MeshQuery presents a training-free agentic approach to automatic UV unwrapping in which a Vision-Language Model plans artist-aligned seams using a set of edge-selection tools, conditioned on domain-specific UV-unwrapping knowledge expressed in natural language and refined with a feedback loop, producing 2.9x/4.29x fewer charts and 1.63x/1.7x shorter seams than the strongest baseline on Adobe Substance 3D and Toys4K meshes, with professional artists preferring its results in 80.9% of comparisons.