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The new checkpoints (VAE or VQ) are trained with single-stage recipe. Losses include L2, perceptual loss (lpips + convnext), and gan loss. You can find more details in MaskBit and MaskGen tech report. We expect the codebase to be updated with the updated singe-stage training recipe in the near future and please stay tuned :)
Great work!
Interested in the details of training the VAE variants.
(1) Are they also trained via the 2-stage procedure?
(2) what losses are used?
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