Reproduce “MeshArt: Generating Articulated Meshes with Structure-Guided Transformers” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Daoyi Gao, Yawar Siddiqui, Lei Li, Angela Dai
Researchers at the Technical University of Munich and Meta developed MeshArt, a hierarchical framework that generates articulated 3D objects as compact, high-quality triangle meshes using structure-guided transformers. This method demonstrates superior realism and diversity in generated structures and geometries, achieving a significantly lower FID of 40.8 for chairs compared to 267.7 for previous methods, and includes an augmented Articulated PartNet dataset.
Key insights
- Decomposing articulated mesh generation into hierarchical stages (structure then geometry) allows for coherent synthesis of both high-level functional properties and low-level geometric detail.
- Representing bounding boxes as triangle meshes enables a unified transformer-based framework for both structural and geometric generation using quantized triangle embeddings.
- Incorporating junction face conditioning and global shape structure conditioning during part mesh generation is critical for ensuring local connectivity and overall style consistency across generated parts.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.