SBER-MoVQGAN is a new SOTA model in the image reconstruction problem. This model is based on code from the VQGAN repository and modifications from the original MoVQGAN paper.

Code for using SBER-MoVQGAN you can obtain in our repo.

The following table compares the 3 versions of the model SBER-MoVQGAN on the Imagenet dataset in terms of FID, SSIM and PSNR metrics. A more detailed description of the experiments and a comparison with other models can be found in the Habr post.