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Found 2 papers, 1 papers with code
Bispectrum Unbiasing for Dilation-Invariant Multi-reference Alignment
Motivated by modern data applications such as cryo-electron microscopy, the goal of classic multi-reference alignment (MRA) is to recover an unknown signal $f: \mathbb{R} \to \mathbb{R}$ from many observations that have been randomly translated and corrupted by additive noise.
Long Range Constraints for Neural Texture Synthesis Using Sliced Wasserstein Loss
In the past decade, exemplar-based texture synthesis algorithms have seen strong gains in performance by matching statistics of deep convolutional neural networks.
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