Maskbit
Collection
11 items • Updated
This model is the MaskBit tokenizer with a vocabulary size of 16bits. 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/maskbit_tokenizer_16bit
Space using markweber/maskbit_tokenizer_16bit 1
Collection including markweber/maskbit_tokenizer_16bit
Paper for markweber/maskbit_tokenizer_16bit
Evaluation results
- rFID on ILSVRC/imagenet-1kself-reported1.290
- InceptionScore on ILSVRC/imagenet-1kself-reported193.600
- LPIPS on ILSVRC/imagenet-1kself-reported0.278
- PSNR on ILSVRC/imagenet-1kself-reported21.800
- SSIM on ILSVRC/imagenet-1kself-reported0.580
- CodebookUsage on ILSVRC/imagenet-1kself-reported1.000