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A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

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Hi, could you release the detailed code and configs w.r.t class-conditional generation? (e.g. the finetuning epochs and lr, etc.) Thanks a lot!

As the title says, I can not find the contrastive learning loss in your codebase.

Just finished reading your new paper **Autoregressive Image Generation without Vector Quantization**, which is very INSPIRING!! Would you consider publicizing the code?

when I using --model vit_base_patch16 to train and mage-vitb-ft.pth as ckpt,A issues coming: Traceback (most recent call last): File "main_finetune.py", line 355, in main(args) File "main_finetune.py", line 250, in main...