HiRAE: Hierarchical Representation Autoencoding with Residual Budgets
This work introduces HiRAE (Hierarchical Representation Autoencoder), which learns a hierarchical fusion framework over the full encoder hierarchy to improve reconstruction fidelity while maintaining compatibility with generative modeling.
Xuan-Yu Zhu, Yan Bai, Yang Shi et al.
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