MaskBit: Embedding-free Image Generation via Bit Tokens
Paper • 2409.16211 • Published • 17
This model is the VQGAN+ tokenizer with a vocabulary size of 12 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_12bit
Paper for markweber/vqgan_plus_12bit
Evaluation results
- rFID on ILSVRC/imagenet-1kself-reported1.390
- InceptionScore on ILSVRC/imagenet-1kself-reported193.900
- LPIPS on ILSVRC/imagenet-1kself-reported0.315
- PSNR on ILSVRC/imagenet-1kself-reported21.000
- SSIM on ILSVRC/imagenet-1kself-reported0.550
- CodebookUsage on ILSVRC/imagenet-1kself-reported1.000