ART is a neural network that iteratively estimates coarse-to-fine image transformations via an auto-regressive pipeline with hierarchical features and cross-attention guidance for robust alignment under sparse features and large deformations.
Surf: Speeded up robust features
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Learning rotation invariance in descriptors matches the performance of matcher-level invariance but allows earlier invariance, faster matchers, and no loss in upright performance when trained at scale.
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Auto-regressive transformation for image alignment
ART is a neural network that iteratively estimates coarse-to-fine image transformations via an auto-regressive pipeline with hierarchical features and cross-attention guidance for robust alignment under sparse features and large deformations.