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zalandoresearch · Jul 8, 2021 · 1a78c5e · 1a78c5e
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-# gpa
+# Grid Partitioned Attention: an efficient attention approximation with inductive bias for the image domain.
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+Code for the paper "Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation", by Nikolay Jetchev, Gökhan Yildirim, Christian Bracher, Roland Vollgraf
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+The file ```GPAmodule.py``` contains the GPA layer definition, and an example how to apply on an image tensor.
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+TODO add the full generator architecture for pose morphing with attention copying from the paper.