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BRICS: Bi-level Feature Representation of Image CollectionS
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BRICS: Bi-level Feature Representation of Image CollectionS BRICS: Bi-level Feature Representation of Image CollectionS Anonymous Authors Paper arXiv Video Code Brics projects images into key codes and then uses the key codes to retrieve features from multi-scale feature grids , instead of directly encoding images into features. Uncurated generated results from the diffusion model trained on our key codes . Abstract We present BRICS, a bi-level feature representation for image collections, consisting of a key code space on top of a multi-scale feature grid space. Our representation is learned by an autoencoder to encode images into continuous key codes, which are used to retrieve features from groups of multi-resolution feature grids. Our key codes and feature grids are jointly trained continuously with well-defined gradient flows, leading to high usage of the feature grids and improved generative modeling compared to discr...
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