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Thanks for your great work in maintaining the repository. We just released our new work NoisyTwins [CVPR 2023], a regularizer for the latent space of GAN. The regularizer improves performance on GAN in terms of class consistency and diversity. As we implemented our work in StudioGAN, we wanted to check if it could be integrated into StudioGAN. The details about the work are presented in the following links:
We welcome new implementations that contribute to the GAN community.
After carefully reviewing changes with Minguk, we will reflect the pull request unless it requires big changes to fundamental structure of StudioGAN.
Thanks for using our StudioGAN and your contribution!
Hi MingKug and team,
Thanks for your great work in maintaining the repository. We just released our new work NoisyTwins [CVPR 2023], a regularizer for the latent space of GAN. The regularizer improves performance on GAN in terms of class consistency and diversity. As we implemented our work in StudioGAN, we wanted to check if it could be integrated into StudioGAN. The details about the work are presented in the following links:
Paper: https://arxiv.org/abs/2304.05866
Project: https://rangwani-harsh.github.io/NoisyTwins/
Code: https://github.com/val-iisc/NoisyTwins
Thanks for your fantastic contribution.
Best,
Harsh
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