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Symmetry-aware super-resolution of crystal orientation maps via invariant latent-space learning

arxiv.org/abs/2609.10898

Updated 22 min ago · first seen 11 Sept 2026

paper_01M294FQ9QFDZ89DFD35S3VYP2

Published
11 Sept 2026
T1 · 23 min ago
arXiv
2609.10898
T1 · 23 min ago
Category
cs.CV
T1 · 23 min ago

Abstract

Crystal-orientation maps are physical fields defined only up to crystal symmetry; electron backscatter diffraction (EBSD) resolves them experimentally, but acquisition-time constraints limit spatial resolution. Unlike conventional images, EBSD data lie on the quotient space $\mathrm{SO}(3)/G$, where $G$ is the crystal-symmetry group. Standard Euclidean interpolation can therefore mix symmetry-equivalent representations and blur grain boundaries. We introduce the Symmetry-Group-Aware Super-Resolution Attention Network (SG-SRAN), which incorporates crystal symmetry and boundary preservation by design. A frozen, locally isometric encoder maps equivalent orientations to a common latent representation in which Euclidean distance approximates misorientation. Super-resolution is performed in this space, with each high-resolution token restricted to a feature-consistent local support to prevent cross-boundary mixing. A dictionary-based decoder then recovers valid orientations. Across FCC and HCP benchmarks, SG-SRAN matches 15-16 million parameter backbones using only 27-49k trainable parameters, while achieving the lowest p68 errors, highest inverse-pole-figure fidelity, and zero-shot transfer to unseen alloys.

Authors 6

Umang Garg, Warren Zamudio, McLean P. Echlin, Samantha H. Daly, Tresa M. Pollock, B. S. Manjunath

Specification

Official page

Source:arXiv (Atom API + RSS)T1observed 23 min agohigh

Arxiv announce type
new

Source:arXiv (Atom API + RSS)T1observed 22 min agohigh

arXiv id
2609.10898

Source:arXiv (Atom API + RSS)T1observed 23 min agohigh

Categories
cs.CV, cond-mat.mtrl-sci, cs.LG

Source:arXiv (Atom API + RSS)T1observed 23 min agohigh

PDF

Source:arXiv (Atom API + RSS)T1observed 23 min agohigh

Primary category
cs.CV

Source:arXiv (Atom API + RSS)T1observed 23 min agohigh

Published
11 Sept 2026

Source:arXiv (Atom API + RSS)T1observed 23 min agohigh

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Provenance

Attributed facts

9

Source tiers

T19

Freshest observation

22 min ago

Conflicts

None