DC‑AE: A 128× Downsampling Autoencoder that Super‑Charges High‑Resolution Diffusion Models
DC‑AE introduces Residual Autoencoding and Decoupled High‑Resolution Adaptation to achieve up to 128× spatial compression in autoencoders, preserving reconstruction quality while delivering roughly 19× inference and 18× training speedups for high‑resolution diffusion models, as demonstrated on ImageNet and other benchmarks.
