This model is the MaskBit tokenizer with a vocabulary size of 14bits. 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_14bit

Collection including markweber/maskbit_tokenizer_14bit

Maskbit

Collection

11 items • Updated Feb 25, 2025

Paper for markweber/maskbit_tokenizer_14bit

MaskBit: Embedding-free Image Generation via Bit Tokens

Paper • 2409.16211 • Published Sep 24, 2024 • 17

Evaluation results

rFID on ILSVRC/imagenet-1k
self-reported

1.370
InceptionScore on ILSVRC/imagenet-1k
self-reported

190.300
LPIPS on ILSVRC/imagenet-1k
self-reported

0.286
PSNR on ILSVRC/imagenet-1k
self-reported

21.500
SSIM on ILSVRC/imagenet-1k
self-reported

0.560
CodebookUsage on ILSVRC/imagenet-1k
self-reported

1.000