Intrinsic and Triangulation-Agnostic Attention: A Simple and Powerful Approach for Learning on Meshes
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 quantities used within attention -- queries, keys and values -- are created by an intrinsic, triangulation-agnostic network, and treated as discretizations of continuous functions. From that, we devise an a...
| Authors | Ashwath Shetty, Zihan Zhu, Soeren Pirk et al. |
|---|---|
| Primary category | cs.GR |
| Published | 27 July 2026 |
| Last updated at source | 27 July 2026 |
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