MeshPad: Interactive Sketch-Conditioned Artist-Reminiscent Mesh Generation and Editing

• Main Authors: Li, Haoxuan, Erkoc, Ziya, Li, Lei, Sirigatti, Daniele, Rozov, Vladyslav, Dai, Angela, Nießner, Matthias
• Format: Journal Article
• Language: English
• Published: 09.08.2025
• Subjects: Computer Science - Computer Vision and Pattern Recognition; Computer Science - Graphics
• DOI: 10.48550/arxiv.2503.01425

We introduce MeshPad, a generative approach that creates 3D meshes from sketch inputs. Building on recent advances in artist-reminiscent triangle mesh generation, our approach addresses the need for interactive mesh creation. To this end, we focus on enabling consistent edits by decomposing editing into 'deletion' of regions of a mesh, followed by 'addition' of new mesh geometry. Both operations are invoked by simple user edits of a sketch image, facilitating an iterative content creation process and enabling the construction of complex 3D meshes. Our approach is based on a triangle sequence-based mesh representation, exploiting a large Transformer model for mesh triangle addition and deletion. In order to perform edits interactively, we introduce a vertex-aligned speculative prediction strategy on top of our additive mesh generator. This speculator predicts multiple output tokens corresponding to a vertex, thus significantly reducing the computational cost of inference and accelerating the editing process, making it possible to execute each editing step in only a few seconds. Comprehensive experiments demonstrate that MeshPad outperforms state-of-the-art sketch-conditioned mesh generation methods, achieving more than 22% mesh quality improvement in Chamfer distance, and being preferred by 90% of participants in perceptual evaluations.