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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?
The text was updated successfully, but these errors were encountered:
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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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?
The text was updated successfully, but these errors were encountered: