metadata
license: mit
datasets:
- ILSVRC/imagenet-1k
model-index:
- name: Taming-VQGAN
results:
- task:
type: image-generation
dataset:
name: ILSVRC/imagenet-1k
type: ILSVRC/imagenet-1k
metrics:
- name: rFID
type: rFID
value: 7.96
- name: InceptionScore
type: InceptionScore
value: 115.9
- name: LPIPS
type: LPIPS
value: 0.306
- name: PSNR
type: PSNR
value: 20.2
- name: SSIM
type: SSIM
value: 0.52
- name: CodebookUsage
type: CodebookUsage
value: 0.445
This model is the Taming VQGAN tokenizer with a vocabulary size of 10bits converted into a format for the MaskBit codebase. It uses a downsampling factor of 16 and is trained on ImageNet for images of resolution 256.
You can find more details on the VQGAN in the original repository or paper. All credits for this model belong to Patrick Esser, Robin Rombach and Björn Ommer.