SPHARM-Net: Spherical Harmonics-based Convolutional Neural Network
Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
Differentiable Spherical Harmonic Transforms in PyTorch
Interactive exploration of equivariant neural networks on homogeneous spaces, with a focus on the sphere S² as SO(3)/SO(2). From Lecture 8 of the Lie groups course with Quantum Formalism
PyTorch implementation of "DeepSphere: a Graph-based Spherical CNN", Defferard et al., 2019.
SphericalLabeling: Cortical Surface Labeling using Spherical Data Augmentation and Context-aware Training
Leveraging Input-Level Feature Deformation with Guided-Attention for Sulcal Labeling
We propose an effective spherical deformation-based sulcal labeling method that automatically enlarges sulcal ROIs while contracting unlabeled regions. By designing an invertible, learnable isotropic deformation field with end-to-end SO(3)-equivariance, the proposed method enhances expressive power and generalization capability under data scarcity.
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