This model is the VQGAN+ tokenizer with a vocabulary size of 10 bits. It uses a downsampling factor of 16 and is trained on ImageNet for images of resolution 256.
You can find more details on the project page and in the paper.
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Dataset used to train markweber/vqgan_plus_paper
Evaluation results
- rFID on ILSVRC/imagenet-1kself-reported1.670
- InceptionScore on ILSVRC/imagenet-1kself-reported186.500
- LPIPS on ILSVRC/imagenet-1kself-reported0.328
- PSNR on ILSVRC/imagenet-1kself-reported20.900
- SSIM on ILSVRC/imagenet-1kself-reported0.530
- CodebookUsage on ILSVRC/imagenet-1kself-reported1.000