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In the code, I see that there is a block where it does the whitening if whitened decoder is not provided. But it uses train_dir, is this the same dataset used to train the LDM? as in the Readme.md it states ...
  • JosTheBossX
  • 1
  • Opened 
    14 days ago
  • #39

First of all, thank you so much for sharing your code. It has been incredibly helpful. I have a question about training the HiDDeN model. Did you use the entire COCO train2014 dataset (approximately 80,000 ...
  • UtaeJeong
  • 2
  • Opened 
    on Feb 6
  • #37

Hello author, Can you please share how evaluation is done on generation om prompts from validation set of COCO dataset(Appendix A.3) in Text-to-Image. It would be helpful if you could share how evaluation ...
  • deepikachettri29
  • 6
  • Opened 
    on Jan 20
  • #36

Hello! I had some frustrating problems when finetuning the LDM decoder. I use 10000 COCO images as train set and 1000 as test set, after train a HIDDEN encoder_decoder with 64bits and image size 512x512 ...
  • ewave12138
  • 1
  • Opened 
    on Jan 11
  • #35

Hello, Reading your paper and your StableDiffusion/Hidden code, I noticed that you are using the LAMB optimizer… Why did you choose to use LAMB instead of AdamW / RAdam? I tried to replicate your experiment ...
  • darktanuki
  • 1
  • Opened 
    on Dec 18, 2024
  • #33

Could you please share the codes for this baseline? In your paper, you mentioned FNNS as one of the baselines, but it was used to replace the original SteganoGan with HiDDeN. I found the implementation ...
  • fenghe12
  • 1
  • Opened 
    on Dec 9, 2024
  • #32

If the pretrained model is suitable for sdxl,ths
  • hitlmt
  • 1
  • Opened 
    on Sep 5, 2024
  • #31

Hi, thank you for your amazing work! I m still a little confused how the whitened extractor checkpoint is obtained. From the appendix of the paper, I think the linear layer used for whitening should be ...
  • mcl0
  • 3
  • Opened 
    on Aug 29, 2024
  • #30
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