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About Multi-scale VAE #9

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hizening opened this issue Dec 12, 2024 · 1 comment
Open

About Multi-scale VAE #9

hizening opened this issue Dec 12, 2024 · 1 comment

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@hizening
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Hi author, can I ask if the multi-scale VAE has been retrained in your work? Or are the parameters in the VAR loaded directly?

@lxa9867
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lxa9867 commented Dec 12, 2024

Hi,

Thanks for your interest. We train imagefolder tokenizer from scratch. Comparing to VAR tokenizer, it achieves:

📈 Generation Quality(~300M param)gFID:3.30 v.s. 2.60 (ours),
📈 Reconstruction Quality rFID: 0.9 v.s. 0.8 (ours),
📈 Token length:680 v.s. 286 (ours),
📈 Linear probing:11.3 v.s. 58.0 (ours),

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