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Hello, as the laion data is currently not accessible, it's a bit hard for a fair comparison. However, in our experiment, what we want to demonstrate is that with relatively sufficient data, discrete diffusion is able to have a good performance. I think one of the most important factors is the quality of image-text pairs.
Hi, thanks for presenting this interesting paper.
Table 2 shows that Show-o achieves impressive generation ability (better than SDv1.5) with a much smaller training scale.
Could you provide some insights about why the discrete diffusion process can be even better than continuous diffusion with many denoising steps?
Thanks.
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