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View Code? Open in Web Editor NEWOfficial Implementation for "Transferring Unconditional to Conditional GANs with Hyper-Modulation" CVPRW 22 https://arxiv.org/abs/2112.02219
License: MIT License
Official Implementation for "Transferring Unconditional to Conditional GANs with Hyper-Modulation" CVPRW 22 https://arxiv.org/abs/2112.02219
License: MIT License
Thank you for a job well done! Your idea is very good to alleviate my problem of trying to conditional generation on my own restricted dataset (only 7K)๏ผ
I would like to know about implementing your work on my own non-conditional model (based on Stylegan2-ADA) and dataset.
The following is my idea, I do not know whether it is correct or not:
First, the PKL model should convert the weights into PT format, then form my own classified dataset according to your instructions, and then train.
Looking forward to your reply!
Hi thanks for your great job! This is such the work I am always looking for. But I am wondering how I can upgrade the styleGAN in your architecture to styleGAN2, based on https://github.com/rosinality/stylegan2-pytorch.
Thanks a lot!
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