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cs.CV2024
StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN
Andrzej Bedychaj, Jacek Tabor, Marek Åmieja
Deep conditional generative models are excellent tools for creating high-quality images and editing their attributes. However, training modern generative models from scratch is ver…
cs.CV2024
Augmentation-aware Self-supervised Learning with Conditioned Projector
Marcin PrzewiÄźlikowski, Mateusz Pyla, Bartosz ZieliÅski +3
Self-supervised learning (SSL) is a powerful technique for learning from unlabeled data. By learning to remain invariant to applied data augmentations, methods such as SimCLR and M…