## EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
Arxiv: https://arxiv.org/abs/2502.09509 <br>


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

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#### Model Description 
This model is a regularized version of [SD-VAE](https://github.com/CompVis/latent-diffusion). We finetune it with EQ-VAE regularization  for 5 epochs on OpenImages.


## Model Usage
These weights are intended to be used with the [EQ-VAE codebase](https://github.com/zelaki/eqvae) or the [CompVis Stable Diffusion codebase](https://github.com/CompVis/stable-diffusion). 
If you are looking for the model to use with the 🧨 diffusers library, [come here](https://huggingface.co/zelaki/eq-vae).


#### Metrics
Reconstruction performance of eq-vae-ema on Imagenet Validation Set.

| **Metric** | **Score** |
|------------|-----------|
| **FID**    | 0.82      |
| **PSNR**   | 25.95     |
| **LPIPS**  | 0.141     |
| **SSIM**   | 0.72      |
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