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eess.IV2025
Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting
Guixian Xu, Jinglai Li, Junqi Tang
In this work, we propose Fast Equivariant Imaging (FEI), a novel unsupervised learning framework to rapidly and efficiently train deep imaging networks without ground-truth data. F…
math.OC2025
Group Symmetry Enables Faster Optimization in Inverse Problems
Junqi Tang, Guixian Xu
We prove for the first time that, if a linear inverse problem exhibits a group symmetry structure, gradient-based optimizers can be designed to exploit this structure for faster co…