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[Feature request] DiVAE #151

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jordiae opened this issue Jan 11, 2023 · 3 comments
Open

[Feature request] DiVAE #151

jordiae opened this issue Jan 11, 2023 · 3 comments

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@jordiae
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jordiae commented Jan 11, 2023

DiVAE [1] uses a VQ encoder and a diffusion decoder. Unfortunately, there's no public implementation. It would also be nice to combine that with diffusion Transformers [2].

Any way many thanks for all your work!

[1] https://arxiv.org/abs/2206.00386
[2] https://arxiv.org/abs/2212.09748

@lucidrains
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@jordiae i think SOTA for diffusion transformers would be Muse

i'll take a look at DiVAE this weekend, thanks!

@jordiae
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jordiae commented Jan 11, 2023

@jordiae i think SOTA for diffusion transformers would be Muse

i'll take a look at DiVAE this weekend, thanks!

The main difference is that in DiVAE the decoder of the image "tokenizer" is a diffusion model. Thanks!

Edit: This should be better than VQGAN (see Table 1 in https://arxiv.org/pdf/2206.00386.pdf)

@lucidrains
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@jordiae i think SOTA for diffusion transformers would be Muse
i'll take a look at DiVAE this weekend, thanks!

The main difference is that in DiVAE the decoder of the image "tokenizer" is a diffusion model. Thanks!

Edit: This should be better than VQGAN (see Table 1 in https://arxiv.org/pdf/2206.00386.pdf)

oh my, it is like a frankenstein haha

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