EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Arxiv: https://arxiv.org/abs/2502.09509

EQ-VAE regularizes the latent space of pretrained autoencoders by enforcing equivariance under scaling and rotation transformations.


Model Description

This model is SiT-XL/2-REPA trained with latents extracted with EQ-VAE. The model is trained for 1M iterations on Imagenet 256x256.

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Paper for zelaki/REPA-XL-2-EQ-VAE