Fast Trainable Multilinear Bases for Image Compression
A scheme to train a better transformation for a given image dataset is developed, using isometric tensor networks, inspired by quantum many-body theory, to parameterize the basis, and train it with Riemannian optimization.
Shiwen An, Zhongyi Ni, Huanhai Zhou et al.
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