SBER-MoVQGAN
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.
Models
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.
| Model | Train steps | FID | SSIM | PSNR |
|---|---|---|---|---|
| f=8, SBER-MoVQGAN 67M | 2M | 0,96 | 0,7249 | 26,45 |
| f=8, SBER-MoVQGAN 102M | 2360k | 0,78 | 0,7373 | 26,89 |
| f=8, SBER-MoVQGAN 270M | 1330k | 0,69 | 0,7411 | 27,04 |
Inference Providers
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