Comments (2)
Hello NieShen,
Thanks for using our model in advance.
We thank you for pointing out this issue. Indeed, the parameters counting for all models in Tables 6 and G only consider the conditioning transformer (i.e., BERT), and the U-Net part. Thus, the caption "Note that we compute the total parameters by summing parameters from MSVQGAN, conditioning transformer, and Frido." in Table 6 will be revised to "Note that we compute the total parameters by summing parameters from conditioning transformer, and Frido." in the next version.
Here we report the parameters for VQGAN and MSVQGAN for reference.
VQGAN: 67.7M MSVQGAN: 68.0M
from frido.
Thanks for your reply!
from frido.
Related Issues (7)
- when the training codes can be released?
- Layout2Image: Do you train on the deprecated coco-stuff 2017 segmentation challenge or the full coco-stuff 2017?
- Sample times for each image? HOT 9
- FID on coco HOT 2
- Thanks for your great work, can you release pretrained models of layout-to-image generation on coco-stuff?
- RuntimeError: each element in list of batch should be of equal size
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from frido.