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YuxinWenRick avatar YuxinWenRick commented on August 15, 2024

Hi Qilong, thanks for your interest!

gt_patch contains the ring pattern in every channel as a key, but for init_latents_w, we only inject the key into one of the channels. If you are running python run_tree_ring_watermark.py --run_name no_attack --w_channel 3 --w_pattern ring --start 0 --end 1000 --with_tracking --reference_model ViT-g-14 --reference_model_pretrain laion2b_s12b_b42k, you would expect the pattern is in the last channel since --w_channel 3. Could you double-check if you can see it in the last channel? Also, I don't think we expect any ring pattern for reversed_latents_no_w since it's not watermarked.

Let me know if you have further questions!

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qilong-zhang avatar qilong-zhang commented on August 15, 2024

@YuxinWenRick Thanks for your reply. I can obtain the watermark now

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zzzucf avatar zzzucf commented on August 15, 2024

Hi, I wonder how to visualize the gt_patch, just like what paper shows in Figure 1? It is complex type.

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YuxinWenRick avatar YuxinWenRick commented on August 15, 2024

Hi @zzzucf , yeah, you are right that we cannot really visualize the complex numbers, so the figure shown in the paper is just the visualization of the real part. You can follow this code to do the visualization.

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zzzucf avatar zzzucf commented on August 15, 2024

Thank you, that solves my confusion. I really appreciate it.

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